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Marta Belchior Lopes is a researcher at Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa. She holds a PhD in Biotechnology, a Master's degree in Applied Mathematics and a 5-year degree in Biology. Her main research activities have been focused on the development of mathematical and computational tools with a data mining and machine learning substrate to extract meaningful information from high-dimensional data generated by high-throughput technologies. She has been working in the context of precision oncology, bioprocess monitoring, quality control and marine ecology applications. Marta develops her research at the Center for Mathemathics and Applications (NOVA Math) and at the Research and Development Unit for Industrial and Mechanical Engineering (UNIDEMI).
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Identificação

Identificação pessoal

Nome completo
Marta Belchior Lopes

Nomes de citação

  • Lopes, Marta B.

Identificadores de autor

Ciência ID
FD16-A07F-7B12
ORCID iD
0000-0002-4135-1857
Google Scholar ID
https://scholar.google.pt/citations?user=hMw9OZ8AAAAJ&hl=pt-PT&oi=ao
Researcher Id
F-5378-2011
Scopus Author Id
55489480400

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Bioinformática
  • Ciências da Engenharia e Tecnologias - Biotecnologia Industrial
  • Ciências Naturais - Ciências Biológicas - Biologia Marinha
Formação
Grau Classificação
2006/09/01 - 2011/02/07
Concluído
 Biotechnology (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Advances in near-infrared hyperspectral imaging for pharmaceutical anti-counterfeiting" (TESE/DISSERTAÇÃO)
2003/09/01 - 2005/09/01
Concluído
 Applied Mathematics in Biological Sciences (Mestrado)
Universidade de Lisboa Instituto Superior de Agronomia, Portugal
"Strategies for avoiding overparametrization in statistical catch-at-age methods" (TESE/DISSERTAÇÃO)
1997/09/01 - 2003/01/09
Concluído
 Marine Biology (Licenciatura)
Universidade de Lisboa Faculdade de Ciências, Portugal
"Feeeding ecology and morphological variation of Macroramphosus spp. and Capros aper in the Portuguese coast" (TESE/DISSERTAÇÃO)
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/12/16 - Atual Investigador Auxiliar (carreira) (Investigação) Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/01/01 - 2019/12/15 Investigador Contratado (Investigação) Instituto de Telecomunicações, Portugal
2018/10/01 - 2018/12/31 Pós-doutorado (Investigação) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2016/10/01 - 2018/08/31 Pós-doutorado (Investigação) Instituto de Engenharia Mecânica Centro de Sistemas Inteligentes, Portugal
2011/04/01 - 2016/09/30 Pós-doutorado (Investigação) Instituto de Telecomunicações, Portugal
Projetos

Projeto

Designação Financiadores
2023/05/01 - Atual PAS GRAS: De-risking metabolic, environmental and behavioral determinants of obesity in children, adolescents and young adults
101080329
Investigador
Horizon 2020
Em curso
2023 - Atual A Comprehensive Network Against Brain Cancer (Net4Brain)
CA22103
Investigador
European Cooperation in Science and Technology
Em curso
2022/01/01 - Atual OMICs approaches to reveal the anticancer properties of Virgin Olive Oil (VOOmics)
PTDC/BAA-AGR/4732/2021
Investigador
Fundação para a Ciência e a Tecnologia
Em curso
2022 - Atual Personalized medicine in chronic kidney disease: improved outcome based on Big Data (PerMediK)
Cost Action CA21165
Investigador
European Cooperation in Science and Technology
Em curso
2021/03/01 - Atual Multi-omic networks in gliomas (MONET)
PTDC/CCI-BIO/4180/2020
Investigador responsável
Universidade Nova Centro de Matemática e Aplicações, Portugal
 Fundação para a Ciência e a Tecnologia
Em curso
2021 - Atual Pacto da Bioeconomia Azul - WP Bivalves
C644915664-00000026
Investigador
Em curso
2019/12/27 - Atual Statistical and machine learning techniques in human microbiome studies (ML4MICROBIOME)
Cost Action CA18131
Investigador
European Cooperation in Science and Technology
Concluído
2019/02/01 - Atual Identifying biomarkers through translational research for prevention and stratification of colorectal cancer (TRANSCOLONCAN)
Cost Action CA17118
Investigador
European Cooperation in Science and Technology
Concluído
2020/04/01 - 2023/09/30 A machine leaning-based forecasting system for shellfish safety (MATISSE)
DSAIPA/DS/0026/2019
Investigador responsável
Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2018/09/01 - 2021/12/31 Personalized therapy for rheumatic diseases via machine learning (PREDICT)
PTDC/CCI-CIF/29877/2017
Investigador
Instituto de Telecomunicações, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2016/10/01 - 2019/06/01 Personalizing cancer therapy through integrated modeling and decision (PERSEIDS)
PTDC/EMS­SIS/0642/2014
Investigador
Instituto de Engenharia Mecânica Centro de Sistemas Inteligentes, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2016/09/01 - 2018/08/31 Statistical Multi-Omics Understanding (SOUND)
Grant agreement no. 633974
Bolseiro de Pós-Doutoramento
Instituto de Engenharia Mecânica Centro de Sistemas Inteligentes, Portugal
 Horizon 2020
Concluído
2011/04/01 - 2012/03/31 Integrated methodologies for the development of bi and three-valent DNA-vaccines against Helycobacter pylori
PTDC/BIO/69242/06
Bolseiro de Pós-Doutoramento
Universidade Católica Portuguesa, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2006/03/01 - 2006/09/30 Geographycal heterogeneity of tuberculosis in Portugal
Directorate-General of Health
Bolseiro de Investigação
Instituto Gulbenkian de Ciência, Portugal
Concluído
2006 - 2006 Expert Team to Support Human Biomonitoring in Europe (ESBIO)
No. 22580 FP6
Bolseiro de Investigação
Universidade de Lisboa Instituto de Medicina Preventiva e Saúde Pública, Portugal
Concluído
2005/08/01 - 2005/12/31 NeoMAv - New methodologies for fisheries assessment
QCA-3/MARE-FEDER
Bolseiro de Investigação
Instituto Português do Mar e da Atmosfera, Portugal
Concluído
2005/03/01 - 2005/07/31 NURSERIES - Importance of estuarine and coastal nursery areas for the maintenance of stocks of fish species with commercial interest in the Portuguese coast
FEDER 22-05-01-FDR-00037 - MARE, DGPA
Bolseiro de Investigação
Centro de Ciências do Mar e do Ambiente, Portugal
Concluído
2002/09/01 - 2005/02/28 PELÁGICOS - Strengthening research capacity in the field of oceanography and fisheries biology applied to the management of pelagic marine resources
FCT-PLE/13/00
Bolseiro de Iniciação Científica
Instituto Português do Mar e da Atmosfera, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2000/01/01 - 2001/06/30 FESTA II - Integrated functioning of the Tagus estuary and continental shelf, in response to anthropogenic pressure and global changes
POCTI/MGS/34457/99
Bolseiro de Iniciação Científica
Centro de Ciências do Mar e do Ambiente, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Eliana Ibrahimi; Mina Norouzirad; Melisa Meto; Marta B. Lopes. "Regularized Generalized Linear Models to Disclose Host-Microbiome Associations in Colorectal Cancer". 2023.
    10.1145/3613347.3613362
  2. Sampaio, P.N.; Cunha, B.; Rosa, F.; Sales, K.; Lopes, M.B.; Calado, C.R.C.. "Molecular fingerprint of human gastric cell line infected by Helicobacter pylori". 2015.
    10.1109/ENBENG.2015.7088877
  3. Lopes, M.B.; Sales, K.C.; Lopes, V.V.; Calado, C.R.C.. "Real-time plasmid monitoring of batch and fed-batch Escherichia coli cultures by NIR spectroscopy". 2013.
    10.1109/ENBENG.2013.6518394
  4. Lopes, M.B.; Scholtz, T.; Silva, D.; Santos, I.; Silva, T.; Sampaio, P.; Couto, A.; Lopes, V.V.; Calado, C.R.C.. "Modelling, monitoring and control of plasmid bioproduction in Escherichia coli cultures". 2012.
    10.1109/ENBENG.2012.6331370
  5. Lopes, M.B.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.; Wolff, J.-C.; Mistry, N.; Warrack, J.. "Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets". 2011.
    10.1109/WHISPERS.2011.6080869
  6. Lopes, M.B.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.; Wolff, J.-C.. "Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets". 2009.
    10.1109/WHISPERS.2009.5289081
Artigo em revista
  1. Laura Judith Marcos-Zambrano; Víctor Manuel López-Molina; Burcu Bakir-Gungor; Marcus Frohme; Kanita Karaduzovic-Hadziabdic; Thomas Klammsteiner; Eliana Ibrahimi; et al. "A toolbox of machine learning software to support microbiome analysis". Frontiers in Microbiology (2023):
    10.3389/fmicb.2023.1250806
  2. Eliana Ibrahimi; Marta B. Lopes; Xhilda Dhamo; Andrea Simeon; Rajesh Shigdel; Karel Hron; Blaž Stres; et al. "Overview of data preprocessing for machine learning applications in human microbiome research". Frontiers in Microbiology 14 (2023):
    10.3389/fmicb.2023.1250909
  3. Sofia Martins; Roberta Coletti; Marta B. Lopes. "Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods". BioData Mining 16 1 (2023):
    10.1186/s13040-023-00341-1
  4. Domenica D’Elia; Jaak Truu; Leo Lahti; Magali Berland; Georgios Papoutsoglou; Michelangelo Ceci; Aldert Zomer; et al. "Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action". Frontiers in Microbiology 14 (2023):
    10.3389/fmicb.2023.1257002
  5. Georgios Papoutsoglou; Sonia Tarazona; Marta B. Lopes; Thomas Klammsteiner; Eliana Ibrahimi; Julia Eckenberger; Pierfrancesco Novielli; et al. "Machine learning approaches in microbiome research: challenges and best practices". Frontiers in Microbiology 14 (2023):
    10.3389/fmicb.2023.1261889
  6. Carolina Peixoto; Marta B. Lopes; Marta Martins; Sandra Casimiro; Daniel Sobral; Ana Rita Grosso; Catarina Abreu; et al. "Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization". BMC Bioinformatics 24 1 (2023):
    10.1186/s12859-022-05104-z
  7. João F. Carrilho; Marta B. Lopes. "Classification and biomarker selection in lower-grade glioma using robust sparse logistic regression applied to RNA-seq data". REVISTA BRASILEIRA DE BIOMETRIA 40 4 (2022): 371-381.
    10.28951/bjb.v40i4.634
  8. Patrício, André; Lopes, M.B.; Costa, Pedro Reis; Costa, Rafael S.; Henriques, Rui; Vinga, Susana. "Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions". Toxins 14 10 (2022): 679.
    10.3390/toxins14100679
  9. Cruz, Rafaela C.; Costa, Pedro R.; Krippahl, Ludwig; Lopes, M.B.. "Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks". Knowledge-Based Systems (2022): 109895.
    10.1016/j.knosys.2022.109895
  10. Jensch, Antje; Lopes, M.B.; Vinga, Susana; Radde, Nicole. "ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data". Statistical Methods in Medical Research 31 5 (2022): 947-958.
    10.1177/09622802211072456
  11. Cruz, Rafaela C.; Reis Costa, Pedro; Vinga, Susana; Krippahl, Ludwig; Lopes, M.B.. "A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination". Journal of Marine Science and Engineering 9 3 (2021): 283.
    10.3390/jmse9030283
  12. Lopes, M.B.; Martins, Eduarda P.; Vinga, Susana; Costa, Bruno M.. "The Role of Network Science in Glioblastoma". Cancers 13 5 (2021): 1045.
    10.3390/cancers13051045
  13. Moreno-Indias, Isabel; Lahti, Leo; Nedyalkova, Miroslava; Elbere, Ilze; Roshchupkin, Gennady; Adilovic, Muhamed; Aydemir, Onder; et al. "Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions". Frontiers in Microbiology 12 (2021):
    10.3389/fmicb.2021.635781
  14. Marcos-Zambrano, Laura Judith; Karaduzovic-Hadziabdic, Kanita; Loncar Turukalo, Tatjana; Przymus, Piotr; Trajkovik, Vladimir; Aasmets, Oliver; Berland, Magali; et al. "Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment". Frontiers in Microbiology 12 (2021):
    10.3389/fmicb.2021.634511
  15. Peixoto, Carolina; Lopes, M.B.; Martins, Marta; Costa, Luís; Vinga, Susana. "TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data". Biomedicines 8 11 (2020): 488.
    10.3390/biomedicines8110488
  16. Lopes, M.B.; Vinga, S.. "Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data". BMC Bioinformatics 21 59 (2020):
    10.1186/s12859-020-3390-4
  17. Lopes, M.B.; Casimiro, S.; Vinga, S.. "Twiner: correlation-based regularization for identifying common cancer gene signatures". BMC Bioinformatics 20 1 (2019): 356.
    10.1186/s12859-019-2937-8
  18. Segaert, P.; Lopes, M.B.; Vinga, S.; Rousseeuw, P.J.. "Robust identification of target genes and outliers in triple-negative breast cancer data.". Statistical methods in medical research (2018):
    10.1177/0962280218794722
  19. Lopes, M.B.; Veríssimo, A.; Carrasquinha, E.; Casimiro, S.; Beerenwinkel N; Vinga, S.. "Ensemble outlier detection and gene selection in triple-negative breast cancer data.". BMC bioinformatics (2018):
    10.1186/s12859-018-2149-7
  20. Lopes, M.B.; Amorim, A.; Calado, C.R.C.; Costa, P.R.. "Determination of Cell Abundances and Paralytic Shellfish Toxins in Cultures of the Dinoflagellate Gymnodinium catenatum by Fourier Transform Near Infrared Spectroscopy". Journal of Marine Science and Engineering 6 4 (2018): 147-147.
    10.3390/jmse6040147
  21. Lopes, M.B.; Calado, C.R.C.. "Assessing plasmid bioprocess reproducibility and C-source uptake stage through multivariate analysis of offline and online data". Journal of Chemical Technology and Biotechnology 93 10 (2018): 3056-3066.
    10.1002/jctb.5666
  22. Carrasquinha, E.; Veríssimo, A.; Lopes, M.B.; Vinga, S.. "Identification of influential observations in high-dimensional cancer survival data through the rank product test". BioData Mining (2018):
    10.1186/s13040-018-0162-z
  23. Sampaio, P.N.; Sales, K.C.; Rosa, F.O.; Lopes, M.B.; Calado, C.R.C.. "High-throughput FTIR-based bioprocess analysis of recombinant cyprosin production". Journal of Industrial Microbiology and Biotechnology 44 1 (2017): 49-61.
    10.1007/s10295-016-1865-0
  24. Sales, K.C.; Rosa, F.; Cunha, B.R.; Sampaio, P.N.; Lopes, M.B.; Calado, C.R.C.. "Metabolic profiling of recombinant Escherichia coli cultivations based on high-throughput FT-MIR spectroscopic analysis". Biotechnology Progress 33 2 (2017): 285-298.
    10.1002/btpr.2378
  25. Lopes, M.B.; Calado, C.R.C.; Figueiredo, M.A.T.; Bioucas-Dias, J.M.. "Does Nonlinear Modeling Play a Role in Plasmid Bioprocess Monitoring using Fourier Transform Infrared Spectra?". Applied Spectroscopy (2016):
    10.1177/0003702816670913
  26. Rosa, F.; Sales, K.C.; Carmelo, J.G.; Fernandes-Platzgummer, A.; da Silva, C.L.; Lopes, M.B.; Calado, C.R.C.. "Monitoring the ex-vivo expansion of human mesenchymal stem/stromal cells in xeno-free microcarrier-based reactor systems by MIR spectroscopy". Biotechnology Progress 32 2 (2016): 447-455.
    10.1002/btpr.2215
  27. Lopes, M.B.; Gonçalves, G.A.L.; Felício-Silva, D.; Prather, K.L.J.; Monteiro, G.A.; Prazeres, D.M.F.; Calado, C.R.C.. "In situ NIR spectroscopy monitoring of plasmid production processes: Effect of producing strain, medium composition and the cultivation strategy". Journal of Chemical Technology and Biotechnology 90 2 (2015): 255-261.
    10.1002/jctb.4431
  28. Rosa, F.; Sales, K.C.; Cunha, B.R.; Couto, A.; Lopes, M.B.; Calado, C.R.. "A comprehensive high-throughput FTIR spectroscopy-based method for evaluating the transfection event: estimating the transfection efficiency and extracting associated metabolic responses". Analytical and bioanalytical chemistry 407 26 (2015): 8097-8108.
    10.1007/s00216-015-8983-9
  29. Sales, K.C.; Rosa, F.; Sampaio, P.N.; Fonseca, L.P.; Lopes, M.B.; Calado, C.R.. "In situ near-infrared (NIR) versus high-throughput mid-infrared (MIR) spectroscopy to monitor biopharmaceutical production". Applied spectroscopy 69 6 (2015): 760-772.
    10.1366/14-07588
  30. Lopes, M.B.; Martins, G.; Calado, C.R.C.. "Kinetic modeling of plasmid bioproduction in Escherichia coli DH5a cultures over different carbon-source compositions". Journal of Biotechnology 186 (2014): 38-48.
    10.1016/j.jbiotec.2014.06.022
  31. Sampaio, P.N.; Sales, K.C.; Rosa, F.O.; Lopes, M.B.; Calado, C.R.. "In situ near infrared spectroscopy monitoring of cyprosin production by recombinant Saccharomyces cerevisiae strains". Journal of Biotechnology 188 (2014): 148-157.
    10.1016/j.jbiotec.2014.07.454
  32. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.. "Study on the effect of pixel resolution and blending grade on near-infrared hyperspectral unmixing of tablets". Applied Spectroscopy 65 2 (2011): 193-200.
    10.1366/10-06079
  33. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.. "Quantification of components in non-homogenous pharmaceutical tablets using near infrared reflectance imaging". Journal of Near Infrared Spectroscopy 18 5 (2010): 333-340.
    10.1255/jnirs.897
  34. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.. "Reply to the comments on "near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets"". Analytical Chemistry 82 20 (2010): 8753-8754.
    10.1021/ac102443w
  35. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.. "Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets". Analytical Chemistry 82 4 (2010): 1462-1469.
    10.1021/ac902569e
  36. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, J.M.; Figueiredo, M.A.T.. "Determination of the composition of counterfeit Heptodin™ tablets by near infrared chemical imaging and classical least squares estimation". Analytica Chimica Acta 641 1-2 (2009): 46-51.
    10.1016/j.aca.2009.03.034
  37. Lopes, M.B.; Wolff, J.-C.. "Investigation into classification/sourcing of suspect counterfeit Heptodin™ tablets by near infrared chemical imaging". Analytica Chimica Acta 633 1 (2009): 149-155.
    10.1016/j.aca.2008.11.036
  38. Brás, L.P.; Lopes, M.B.; Ferreira, A.P.; Menezes, J.C.. "A bootstrap-based strategy for spectral interval selection in PLS regression". Journal of Chemometrics 22 11-12 (2008): 695-700.
    10.1002/cem.1153
  39. Cabral, H.N.; Vasconcelos, R.; Vinagre, C. ; França, S.; Fonseca, V.; Maia, A.; Reis-Santos, P.; et al. "Relative importance of estuarine flatfish nurseries along the Portuguese coast". Journal of Sea Research 57 2-3 (2007): 209-217.
    10.1016/j.seares.2006.08.007
  40. Lopes, M.B.; Murta, A.G.; Cabral, H.N.. "Discrimination of snipefish Macroramphosus species and boarfish Capros aper morphotypes through multivariate analysis of body shape". Helgoland Marine Research 60 1 (2006): 18-24.
    10.1007/s10152-005-0010-7
  41. Lopes, M.B.; Murta, A.G.; Cabral, H.N.. "The ecological significance of the zooplanktivores, snipefish Macroramphosus spp. and boarfish Capros aper, in the food web of the south-east North Atlantic". Journal of Fish Biology 69 2 (2006): 363-378.
    10.1111/j.1095-8649.2006.01093.x
  42. Cabral, H.N.; Lopes, M.B.; Loeper, R.. "Trophic niche overlap between flatfishes in a nursery area on the Portuguese coast". Scientia Marina 66 3 (2002): 293-300.
    10.3989/scimar.2002.66n3293
Artigo em revista (magazine)
  1. Lopes, M.B.; Wolff, J.-C.; Bioucas-Dias, José M.; Figueiredo, M.T.F.. "Investigating counterfeit medicines - the near infrared chemical imaging picture", NIR News, 2011
  2. Santos, H.; Sousa, D.; Caldeira, P.; Lopes, M.B.; Açucena, F.; Ramos, A.; Moniz, M.; Lopes, A.; Guerreiro, H.. "Survival and prognosis of patients with percutaneous endoscopic gastrotomy", Revista APNEP, 2008
Capítulo de livro
  1. Roberta Coletti; Marta B. Lopes. "Multi-omics Data Integration and Network Inference for Biomarker Discovery in Glioma". 2023.
    10.1007/978-3-031-49011-8_20
  2. Diogo Ribeiro; Filipe Ferraz; Marta B. Lopes; Susana Margarida Rodrigues; Pedro Reis Costa; Susana Vinga; Alexandra M. Carvalho. "Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination". 2023.
    10.1007/978-3-031-48232-8_44
  3. Ana Rita Baião; Carolina Peixoto; Marta B. Lopes; Pedro Reis Costa; Alexandra M. Carvalho; Susana Vinga. "Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast". 2023.
    10.1007/978-3-031-49011-8_26
  4. Isabel Natário; Lopes, M.B.. "Processamento de informação - Bases de dados e Big data". In Novas Tecnologias em Saúde. Cascais, Portugal: Principia, 2022.
  5. Lopes, M.B.; Vinga, Susana. "Learning Biomedical Networks: Toward Data-Informed Clinical Decision and Therapy". In Advances in Artificial Intelligence, Computation, and Data Science, 77-92. Springer International Publishing, 2021.
    10.1007/978-3-030-69951-2_3
  6. Villa-Brito, J.; Lopes, M.B.; Carvalho, A.; Vinga, S.. "Unravelling breast and prostate common gene signatures by Bayesian network learning". In Computational Intelligence methods for Bioinformatics and Biostatistics. Springer Lecture Notes in Computer Science, 2020.
    10.1007/978-3-030-34585-3_25
  7. Veríssimo, A.; Lopes, M.B.; Carrasquinha, E.; Vinga, S.. "Random sample consensus for the robust identification of outliers in cancer data". In Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2019). Springer Lecture Notes in Bioinformatics. 2020.
    10.1007/978-3-030-63061-4_11
  8. Diegues, I.; Lopes, M.B.; Vinga, S.. "Identification of common gene signatures in microarray and RNA-sequencing data using network-based regularization". In Bioinformatics and Biomedical Engineering. Springer Lecture Notes in Computer Science, 2020.
    10.1007/978-3-030-45385-5_2
  9. Carrasquinha, E.; Veríssimo, A.; Lopes, M.B.; Vinga, S.. "Network-based variable selection for survival outcomes in oncological data". In Bioinformatics Research and Applications. Springer Lecture Notes in Computer Science, 2020.
    10.1007/978-3-030-45385-5_49
  10. Carrasquinha, E.; Veríssimo, A.; Lopes, M.B.; Vinga, S.. "Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data". In Machine Learning, Optimization, and Data Science, 431-440. Springer International Publishing, 2019.
    10.1007/978-3-030-13709-0_36
  11. Lopes, M.B.; Veríssimo, A.; Carrasquinha, E.; Vinga, S.. "On the role of hub and orphan genes in the diagnosis of breast invasive carcinoma". In Machine Learning, Optimization, and Data Science. Springer Lecture Notes in Computer Science, 2019.
    10.1007/978-3-030-37599-7_52
Poster em conferência
  1. João Carrilho; Roberta Coletti; Lopes, Marta B.. "Unveiling gene signatures in glioma: A Comprehensive analysis using regularized logistic regression, dimensionality reduction, and outlier detection". Trabalho apresentado em XXVI Congresso da Sociedade Portuguesa de Estatística (SPE 2023), 2023.
  2. Roberta Coletti; Lopes, Marta B.. "Network inference and clustering: mathematical tools to discover glioma biomarkers from gene expression patient data". Trabalho apresentado em The 3rd Women in Mathematics Meeting in Portugal (WM23), 2023.
  3. João Carrilho; Roberta Coletti; Lopes, Marta B.. "Disclosing gene signatures in gliomas via classification and dimensionality reduction methods". Trabalho apresentado em The 5th Statistics on Health Decision Making: Personalized Medicine, 2023.
  4. Francisca Vieira; Regina Bispo; Lopes, Marta B.. "Integration of multi-omics data for classification of glioma types and identification of novel biomarkers". Trabalho apresentado em Bioinformatics Days XII Edition, 2023.
  5. João Carrilho; Lopes, M.B.. "Identification of transcriptomic markers of intertumoral heterogeneity in gliomas via sparse logistic regression with the elastic net penalty". Trabalho apresentado em 3rd Portuguese Meeting on Biomathematics, 2022.
  6. Roberta Coletti; Sofia Martins; Lopes, M.B.. "Disclosing sparse transcriptomics networks in gliomas using the graphical lasso". Trabalho apresentado em 3rd Portuguese Meeting on Biomathematics, 2022.
  7. Peixoto, C.; Lopes, M.B.; Martins, M.; Veríssimo, A.; Costa, L.; Vinga, S.. "Sparse models and network-based regularizers for the analysis of RNA-seq data from colorectal cancer". Trabalho apresentado em EMBO Workshop - Precision Health: Molecular Basis, Technology and Digital Health, 2019.
  8. Veríssimo, A.; Lopes, M.B.; Carrasquinha, E.; Vinga, S.. "Performance and stability analysis of sparse network-based survival models". Trabalho apresentado em Workshop on Statistical Challenges in Medical Data Science (Ascona Workshop 2019), 2019.
  9. Carrasquinha, Eunice; Lopes, M.B.; Veríssimo, André; Casimiro, S.; Beerenwinkel, N.; Vinga, Susana. "Ensemble outlier detection in cancer gene expression data". Trabalho apresentado em The 17th European Conference on Computational Biology (ECCB 2018), 2018.
  10. Carrasquinha, E.; Veríssimo, A.; Lopes, M.B.; Vinga, S.. "Survival analysis of high-dimensional cancer gene expression data". Trabalho apresentado em The European Conference on Mathematical and Theoretical Biology (ECMTB 2018), 2018.
  11. Veríssimo, A.; Carrasquinha, E.; Lopes, M.B.; Oliveira, A.L.; Sagot, M.-F.; Vinga, S.. "Regularized survival analysis and feature clustering of TCGA breast cancer data". Trabalho apresentado em From Single- to Multiomics: Applications and Challenges in Data Integration, 2017.
  12. Veríssimo, A.; Lopes, M.B.; Carrasquinha, E.; Oliveira, A.L.; Sagot, M.-F.; Vinga, S.. "Random Sample Consensus (RANSAC) for the robust identification of outliers in transcriptomic data". Trabalho apresentado em Intelligent Systems for Molecular Biology / European Conference on Computational Biology (ISMB/ECCB 2017), 2017.
  13. Veríssimo, A.; Carrasquinha, E.; Lopes, M.B.; Sagot, M-F.; Oliveira, A.L.; Vinga, S.. "Network-based sparse modeling of breast invasive carcinoma survival data". Trabalho apresentado em Signal Processing with Adaptive Sparse Structured Representations (SPARS 2017), 2017.
  14. Veríssimo, A.; Carrasquinha, E.; Lopes, M.B.; Sagot, M.-F.; Oliveira, A.L.; Vinga, S.. "Network-based regularized optimization for cancer survival data analysis". Trabalho apresentado em Ascona Workshop 2017 - Statistical Challenges in Single-Cell Biology, 2017.
  15. Sampaio, P.N.; Sales, K.C.; Lopes, M.B.; Calado, C.R.C.. "In-situ prediction of a recombinant aspartic protease production in bioreactor with near infrared spectroscopy and partial least squares regression". Trabalho apresentado em The Portuguese Congress of Microbiology and Biotechnology (MicroBiotec 2013), 2013.
  16. Sales, K.C.; Rosa, F.O.; Lopes, M.B.; Sampaio, P.N.; Calado, C.R.C.. "Near-infrared (NIR) versus mid-infrared (MIR) spectroscopy to monitor the bioproduction of heterologous products". Trabalho apresentado em The Portuguese Congress of Microbiology and Biotechnology (MicroBiotec 2013), 2013.
  17. Cunha, B.R.; Sales, K.C.; Rosa, F.O.; Lopes, M.B.; Sampaio, P.N.; Calado, C.R.C.. "Evaluation of anti-bacterial agents using high-throughput FTIR spectroscopy". Trabalho apresentado em The Portuguese Congress of Microbiology and Biotechnology (MicroBiotec 2013), 2013.
  18. Lopes, M.B.; Sales, K.C.; Rosa, F.O.; Sampaio, P.N.; Calado, C.R.C.. "Tracking the effect of the culture design in the in-situ NIR monitoring of plasmid bioprocesses". Trabalho apresentado em The Portuguese Congress of Microbiology and Biotechnology (MicroBiotec 2013), 2013.
  19. Lopes, M.B.; Sales, K.C.; Lopes, V.V.; Calado, C.R.C.. "Real-time plasmid monitoring of batch and fed-batch Escherichia coli cultures by NIR spectroscopy". Trabalho apresentado em The Third IEEE-EMBS Portuguese Bioengineering Meeting (ENBENG 2013), 2013.
  20. Lopes, M.B.; Scholz, T.; Santos, T.; Felício-Silva, D.; Sampaio, P.N.; Couto, A.; Lopes, V.V.; Calado, C.R.C.. "Modelling, Monitoring and Control of Plasmid Bioproduction in Escherichia coli Cultures". Trabalho apresentado em The Second IEEE-EMBS Portuguese Bioengineering Meeting (ENBENG 2012), 2012.
  21. Lopes, M.B.; Bioucas-Dias, J.M.; Wolff, J.-C.; Figueiredo, M.A.T.. "Spectral unmixing via minimum volume simplices: application to near infrared spectra of counterfeit tablets". Trabalho apresentado em First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), 2009.
  22. Lopes, M.B.; Wolff, J.-C.. "Sourcing counterfeit tablets using NIR-CI: a case study". Trabalho apresentado em The 11th Conference on Chemometrics in Analytical Chemistry (CAC2008), 2008.
  23. Lopes, M.B.; Ferreira, A.P.; Menezes, J.C.. "Near-infrared spectroscopy as an important tool for at-line monitoring and control of industrial Streptomyces fermentations: two case studies". Trabalho apresentado em The 13th International Conference on Near Infrared Spectroscopy (13th ICNIRS), 2007.
  24. Lopes, M.B.; Brás, L.P.; Ferreira, A.P.; Menezes, J.C.. "A bootstrap-based strategy for spectral interval selection in partial least squares regression". Trabalho apresentado em The 10th Scandinavian Symposium on Chemometrics (SSC10), 2007.
  25. Santos, H.; Lopes, M.B.; Afonso, G.; Bretes, L.; Guerreiro, H.; Silva, J.C.. "Colon and rectal cancer - Analysis of prognostic factors". Trabalho apresentado em XXVII Congresso Nacional de Gastrenterologia e Endoscopia Digestiva, 2007.
  26. Cabral, H.N.; Vasconcelos, R.; Vinagre, C. ; França, S.; Fonseca, V.; Maia, A.; Reis-Santos, P.. "Anthropogenic pressures in estuarine flatfish nurseries along the Portuguese coast". Trabalho apresentado em The 6th International Flatfish Symposium, 2005.
Pré-impressão
  1. Medonça, Mónica L.; Coletti, Roberta; Gonçalves, Céline S.; Martins, Eduarda P.; Costa, Bruno M.; Vinga, Susana; Lopes, Marta B.. "Updating TCGA glioma classification through integration of molecular profiling data following the 2016 and 2021 WHO guidelines". 2023.
    10.1101/2023.02.19.529134
  2. Tavares, Sérgio; Costa, Pedro Reis; Krippahl, Ludwig; Lopes, Marta B.. "Satellite-based feature extraction and multivariate time-series prediction of biotoxin contamination in shellfish". 2023.
    10.48550/arXiv.2311.15000
  3. Coletti, Roberta; Mónica L. Mendonça; Susana Vinga; Lopes, Marta B.. "Inferring diagnostic and prognostic gene expression signatures across WHO glioma classifications: A network-based approach". 2023.
    10.48550/arXiv.2305.12207
  4. Francisca Vieira; Regina Bispo; Lopes, Marta B.. "Integration of multi-omics data for the classification of glioma types and identification of novel biomarkers". 2023.
    10.1101/2023.12.22.572983
  5. Veríssimo, André; Carrasquinha, Eunice; Lopes, Marta B.; Oliveira, Arlindo L.; Sagot, Marie-France; Vinga, Susana. "Sparse network-based regularization for the analysis of patientomics high-dimensional survival data". 2018.
    10.1101/403402
Tese / Dissertação
  1. Lopes, Marta. "Advances in near-infrared hyperspectral imaging for pharmaceutical anti-counterfeiting". Doutoramento, Universidade de Lisboa Instituto Superior Técnico, 2011.
  2. Lopes, Marta. "Strategies for avoiding overparametrization in statistical catch-at-age methods". Mestrado, Universidade de Lisboa Instituto Superior de Agronomia, 2006.
  3. Lopes, Marta. "Feeding ecology and morphological variation of Macroramphosus spp. and Capros aper in the Portuguese coast". Licenciatura, Universidade de Lisboa Faculdade de Ciências, 2003.

Outros

Outra produção
  1. glmSparseNet - Network centrality metrics for elastic-net regularized models. Bioconductor R package. 2018. Veríssimo, André; Vinga, S.; Carrasquinha, E.; Lopes, M.B.. https://bioconductor.org/packages/3.8/bioc/html/glmSparseNet.html.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2023/12/21 Identifying brain tumor gene signatures through multi-omics network inference and classification IMS International Conference on Statistics and Data Science (ICSDS 2023)
Faculdade de Ciências, Universidade de Lisboa (Lisboa, Portugal)
2023/11 Causal graph discovery for explainable insights on marine biotoxin shellfish contamination The 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2023)
Universidade de Évora (Évora, Portugal)
2023/10 Dimensionality reduction in survival models based on gene expression data: an application to brain cancer XXVI Congresso da Sociedade Portuguesa de Estatística (SPE 2023)
(Guimarães, Portugal)
2023/10 Classification and survival analysis of multi-omics data for the identification of novel diagnostic and prognostic biomarkers in glioma XXVI Congresso da Sociedade Portuguesa de Estatística (SPE 2023)
(Guimarães, Portugal)
2023/09 Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast The 22nd Portuguese Conference on Artificial Intelligence (EPIA 2023)
(Faial, Portugal)
2023/09 Multi-omics data integration and network inference for biomarker discovery in glioma The 22nd Portuguese Conference on Artificial Intelligence (EPIA 2023)
(Faial, Portugal)
2023/09 Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shellfish production areas The 9th Annual Conference on machine Learning, Optimization and Data science (LOD 2023)
(Lake District, Reino Unido)
2023/08 Feature extraction from satellite data for multivariate time-series forecasting of biotoxin contamination in shellfish The 25th International Conference on Computational Statistics (COMPSTAT 2023)
(London, Reino Unido)
2023/08 Network inference and robust clustering on high-dimensional data to investigate the molecular heterogeneity in glioma The 25th International Conference on Computational Statistics (COMPSTAT 2023)
(London, Reino Unido)
2023/07 Evaluating the impact of inclusion of molecular information in glioma classification on network-based biomarker discovery Data Science, Statistics & Visualisation (DSSV 2023)
(Antwerp, Bélgica)
2023/06 On the role of temporal irregularities and spatial dependencies in the development of time-series models for predicting biotoxin contamination in shellfish 13th International Workshop on Modeling the Ocean (IWMO 2023)
(Hamburg, Alemanha)
2022/09/14 Predicting biotoxin shellfish contamination with artificial neural networks: towards a forecasting system for shellfish safety Littoral 2022
(Caparica, Portugal)
2022/07/22 Identification of driver genes in glioblastoma via regularized classification The 17th Conference of the International Federation of Classification Societies
Faculty of Economy, University of Porto (Porto, Portugal)
2022/05/24 Biomarker discovery in cancer transcriptomic data using network-based regularization ML4Microbiome Workshop
University of Tirana (Tirana, Albânia)
2022/05/09 Forecasting mussel contamination by marine biotoxins using long short-term memory networks GlobalHAB Workshop
(Glasgow, Reino Unido)
2021/10/14 Forecasting biotoxin contamination in mussels via artificial neural network modelling 19th International Conference on Harmful Algae
(México)
2021/07/27 Inteligência Artificial em Aplicações Biomédicas e Ambientais Conferência de Inteligência Artificial e Machine Learning
Universidade de Lúrio (Pemba, Moçambique)
2020/03/04 Statistics and Machine Learning in Biomedical and Environmental Sciences Workshop Data Science and Big Data
(Caparica, Portugal)
2019/09/13 On the role of hub and orphan genes in the diagnosis of breast invasive carcinoma Machine Learning, Optimization, and Data Science (LOD 2019)
(Siena, Itália)
2019/09/04 Random sample consensus for the robust identification of outliers in cancer data Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2019)
(Bergamo, Itália)
2018/09/13 Variable selection and outlier detection in regularized survival models: application to melanoma gene expression data The Fourth International Conference on Machine Learning, Optimization, and Data Science (LOD 2018)
(Volterra, Itália)
2018/09/06 Unravelling breast and prostate common gene signatures by Bayesian network learning International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2018)
(Caparica, Portugal)
2018/07/09 Network-based penalized logistic regression for the identification of common gene signatures in breast and prostate cancers Data Science, Statistics & Visualisation (DSSV 2018)
(Vienna, Áustria)
2018/07/09 Robust identification of target genes and outliers in triple-negative breast cancer data Data Science, Statistics & Visualisation (DSSV 2018)
(Vienna, Áustria)
2017/07/16 Outlier detection in survival analysis: an application to ovarian cancer data The 61st World Statistics Congress (ISI 2017)
(Marrakech, Marrocos)
2017/07/12 Consensus outlier detection in triple-negative breast cancer gene expression data Data Science, Statistics & Visualisation (DSSV 2017) - A Satellite Conference of the 61st World Statistics Congress
(Lisboa, Portugal)
2015/02/26 Molecular fingerprint of human gastric cell line infected by Helicobacter pylori The 4th IEEE-EMBS Portuguese Bioengineering Meeting (ENBENG2015)
(Porto, Portugal)
2013/12/06 Bypassing the need for reporter genes The Portuguese Congress of Microbiology and Biotechnology (MicroBiotec 2013)
(Aveiro, Portugal)
2012/09/23 On-line monitoring of plasmid production in an Escherichia coli bioprocess by near infrared spectroscopy The 9th European Symposium on Biochemical Engineering Science (ESBES 2012)
(Istanbul, Turquia)
2011/10/02 Near-infrared imaging and Raman mapping to understand the bigger picture of a counterfeit anti-viral medicine The 38th Federation of Analytical Chemistry and Spectroscopy Societies Conference (FACSS 2011)
(Reno, Estados Unidos)
2011/06/06 Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets The Third IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2011)
(Lisboa, Portugal)
2009/10/18 Comparison of LC/MS and ion mobility spectrometry combined with mass spectrometry for differentiation of counterfeit HeptodinTM The 36th Federation of Analytical Chemistry and Spectroscopy Societies Conference (FACSS2009)
(Louisville, Kentucky, Estados Unidos)
2009/10/18 The near-infrared chemical imaging picture of counterfeit anti-viral drug HeptodinTM The 36th Federation of Analytical Chemistry and Spectroscopy Societies Conference (FACSS2009)
(Louisville, Kentucky, Estados Unidos)
2008/11/21 ERCP - Prospective analysis of complications and risk factors XXIII Reunião Anual do Núcleo de Gastrenterologia dos Hospitais Distritais
(Portimão, Portugal)
2008/09/28 Determination of the composition of counterfeit drugs by near-infrared chemical imaging The 35th Federation of Analytical Chemistry and Spectroscopy Societies (FACSS2008)
(Reno, Estados Unidos)
2008/04/14 Survival and prognosis of patients with percutaneous endoscopic gastrostomy X Annual Congress of the Portuguese Society of Enteric and Parenteric Nutrition
(Porto, Portugal)

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2023 - Atual Deciphering glioma heterogeneity through multi-view clustering: towards improved disease molecular subtyping and personalised medicine
Orientador
 Master in Mathematics and Applications (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2023 - Atual Disclosing trans-omics signatures of gliomas based on network inference and unsupervised learning methods
Orientador
 Master in Computational Biology and Bioinformatics (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2023 - Atual Identification of biomarkers of aggressive distant metastatic disease in colorectal cancer based transcriptomic data
Orientador
 Master in Computational Biology and Bioinformatics (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2023 - Atual Unveiling multi-omics cancer biomarkers via Bioinformatics and Statistical Learning
Orientador
 PhD Program in Mathematics (Doutoramento)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022 - 2023 Evaluating the role of environmental variables on shellfish biotoxin contamination via supervised learning
Orientador
 Integrated Master in Computer Science (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022 - 2023 Integration of multi-omics data for the classification of glioma types and identification of novel biomarkers
Orientador
 Master in Computational Biology and Bioinformatics (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2023 The role of deep learning in the prediction of shellfish contamination by marine biotoxins
Orientador
 Master in Analysis and Engineering of Big Data (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2023 Unveiling the anticancer potential of hydroxytyrosol in LOVO cell spheroids
Coorientador
 Integrated Master in Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2023 Identification of genetic drivers of colorectal cancer via bioinformatics and machine learning
Orientador
 Master in Analysis and Engineering of Big Data (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2023 Biomarker selection and molecular subtyping in colon and rectal cancer via machine learning
Orientador
 Integrated Master in Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/09/01 - 2022/04 A Machine Learning approach to Sentinel-3 Imagery Feature Extraction In The Context Of Harmful Algal Blooms
Coorientador
 Integrated Master in Computer Science (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/01/01 - 2022/03 Telecom churn prediction: a big-data approach
Orientador
 Master in Analysis and Engineering of Big Data (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/09/01 - 2022/01 Multivariate time-series forecasting of shellfish contamination by marine biotoxins
Orientador
 Master in Analysis and Engineering of Big Data (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/09/01 - 2022/01 Identification of colorectal cancer genetic biomarkers via machine learning
Orientador
 Master in Analysis and Engineering of Big Data (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020 - 2022/01 Inferring breast cancer subtypes based on patients mutation profiles
Coorientador
 Integrated Master in Computer Science (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Disclosing multi-omics signatures of brain tumors
Orientador
 Integrated Master in Biomedical Engineering (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Learning subspace representations in cancer mutation profiles via autoencoders for subtype identification
Coorientador
 Integrated Master in Computer Science (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/01/01 - 2021/11 Multivariate time-series forecasting of seafood safety
Coorientador
 Integrated Master's in Biomedical Engineering (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2018 - 2019 Identification of common gene signatures in microarray and RNA-sequencing data using network-based regularization
Coorientador
 Ciências de Engenharia - Engenharia Biomédica (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2013 - 2014 Infrared Spectroscopy: A groundbreaking tool to monitor mammalian cells' processes. MSc Thesis in Biomedical Engineering
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Católica Portuguesa, Portugal
2013 - 2014 Metabolic monitoring of cell cultures based on high-throughput FT-IR spectroscopy analysis. MSc Thesis in Biomedical Engineering
Coorientador
 Biomedical Engineering (Mestrado)
Universidade Católica Portuguesa, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2023/10/18 - 2023/10/20 Modern Statistics for Biology 2023 Training School (2023/10/18 - 2023/10/20)
Oficina (workshop) (Membro da Comissão Organizadora)
 Universiteti i Tiranës, Albânia
2023/07/05 - 2023/07/13 NOVA Math Thematic Weeks - Mathematical Models in Health (2023/07/05 - 2023/07/13)
Oficina (workshop) (Membro da Comissão Organizadora)
 Universidade Nova Centro de Matemática e Aplicações, Portugal

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2022/01/17 - 2022/01/17 The 4th edition of the Winter School MathMasters 2022
Seminário
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/05/17 - 2019/05/18 The Wizardry of Artificial Intelligence: AI and Machine Learning in Cancer Imaging
Oficina (workshop)
 Champalimaud Foundation
2019/05/14 - 2019/05/15 Copernicus Marine Service Training
Oficina (workshop)
 Mercator Ocean International
2018/08/27 - 2018/08/29 New directions in single cell analysis
Oficina (workshop)
 European Molecular Biology Laboratory (EMBL)
2017/04/03 - 2017/04/04 Advanced R programming
Oficina (workshop)
 Dataprogrammers
2007/06/15 - 2007/06/16 Hyperspectral imaging
Oficina (workshop)
 Technobothnia Research Centre
2006/04/10 - 2006/04/14 Advanced course on epidemiology of infectious diseases
Oficina (workshop)
 Instituto Gulbenkian de Ciência

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2023 Causal graph discovery for explainable insights on marine biotoxin shellfish contamination
Arguente
 Diogo Ribeiro (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023 Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shellfish production areas
Arguente
 Filipe Ferraz (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023 Modelos de aprendizagem automática para detetar o estado de parcelas florestais
Arguente
 Gonçalo Prates (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2022/06/21 Assess the effect of angiogenesis inhibition in intra-tumor heterogeneity
Arguente
 David Pais (Mestrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 Survival analysis of transcriptomic oncological data for the identification of cancer biomarkers
Arguente
 Ana Beatriz Correia (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2020/07/08 Deciphering mechanisms underlying tumor heterogeneity using multi-omics approaches
Arguente
 Joonas Avik (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2019/12/16 Latent factors of multi-omics data and clustering
Arguente
 Xia Anbang (Mestrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal

Arbitragem científica em conferência

Nome da conferência Local da conferência
2020 - Atual International Conference on Machine Learning, Optimization, and Data Science Certosa di Pontignano, Siena, Tuscany, Italy
2023 - 2023 The 19th Annual Meeting of the Bioinformatics Italian Society Bari, Italy
Distinções

Outra distinção

2022 Call Stimulus for Institutional Scientific Employment (CEECINST/00042/2021)
Fundação para a Ciência e a Tecnologia, Portugal
2019 Call Stimulus for Institutional Scientific Employment (CEECINST/00102/2018)
Fundação para a Ciência e a Tecnologia, Portugal
2010 Post-Doctoral Grant (SFRH/BPD/73758/2010)
Fundação para a Ciência e a Tecnologia, Portugal
2006 PhD Grant (SFRH/BD/31084/2006)
Fundação para a Ciência e a Tecnologia, Portugal