Guillermo Lorenzo Gomez (1B13-B3AB-058F)

Curriculum Vitae

Guillermo Lorenzo Gomez

I am a postdoctoral researcher at the Health Research Institute of Santiago de Compostela (Spain) thanks to a Junior Leader Fellowship from Fundación La Caixa. My investigation focuses on the development of biology-based mathematical models and computational methods to predict cancer growth and treatment response on a personalized basis. My work primarily focuses on the patient-specific computational forecasting of prostate cancer growth based on currently available clinical and imaging data. I use isogeometric analysis to accurately and efficiently handle the challenges arising in mathematical modelling of cancer growth and the complex anatomic and morphologic features involved in this problem. Additionally, I am contributing to the development of these technologies for the neoadjuvant therapy of breast cancer and the chemoradiation of brain cancer. Furthermore, I am interested in the application of mathematical models the methods of computational mechanics to contribute to the understanding and clinical management of other diseases, as well as in the development of novel isogeometric methods. Previously, I was a Marie Sklodowska-Curie Fellow at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin (US) and the University of Pavia (Italy) from 2020 to 2023, a Peter O'Donnell Jr. postdoctoral researcher at the Oden Institute from 2019 to 2020, and a postdoctoral researcher at the Computational Mechanics and Advanced Materials Group at the University of Pavia (Italy) from 2017 t0 2019. I obtained my PhD with summa cum laude mention at the University of A Coruña (UDC, Spain) in 2018, where I started my research on computational modelling and simulation of prostate cancer growth within the ERC Starting Grant project MuSIC under the supervision of Prof. Hector Gomez. Previously, I graduated in MSc Introduction to Research in Civil Engineering from UDC in 2014, and graduated with honors in MSc Civil Engineering from UDC in 2013. I have received multiple awards for my academic record during my doctoral and engineering studies, including extraordinary awards from UDC, the Galician Regional Government, and the Spanish Ministry of Education, Culture, and Sport.

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Identificação

Identificação pessoal

Nome completo: Guillermo Lorenzo Gomez

Nomes de citação

Lorenzo, Guillermo

Identificadores de autor

Ciência ID: 1B13-B3AB-058F
ORCID iD: 0000-0001-9090-190X
Google Scholar ID: 8CYNiF4AAAAJ

Endereços de correio eletrónico

guillermolorenzogomez@gmail.com (Pessoal)

Moradas

Oden Institute for Computational Engineering and Sciences, 201 E. 24th Street, 78712-1229, Austin, TX, Austin, TX, Estados Unidos (Profissional)
Health Research Institute of Santiago de Compostela, 15706, Santiago de Compostela, Santiago de Compostela, Espanha (Profissional)

Websites

https://www.glorenzophd.com/ (Pessoal)
https://scholar.google.com/citations?user=8CYNiF4AAAAJ&hl=es (Académico)

Domínios de atuação

Ciências Exatas - Matemática - Matemática Aplicada
Ciências da Engenharia e Tecnologias - Engenharia Mecânica - Mecânica Aplicada
Ciências Naturais - Ciências Biológicas - Biofísica
Ciências da Engenharia e Tecnologias

Idiomas

Idioma	Conversação	Leitura	Escrita	Compreensão	Peer-review
Espanhol; Castelhano (Idioma materno)
Galego (Idioma materno)
Inglês	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)	Utilizador proficiente (C2)
Italiano	Utilizador independente (B2)	Utilizador proficiente (C1)	Utilizador independente (B2)	Utilizador proficiente (C1)	Utilizador independente (B2)
Francês	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)

Formação

	Grau	Classificação
2014/11 - 2018/06 Concluído	PhD in Civil Engineering (Doctor) Universidade da Coruña, Espanha
2013/10 - 2014/07 Concluído	MSc in Research in Civil Engineering (Master) Universidade da Coruña, Espanha
2007/09 - 2013/07 Concluído	Coupled BSc and MSc in Civil Engineering (Graduado) Universidade da Coruña, Espanha

Percurso profissional

Ciência

	Categoria Profissional Instituição de acolhimento	Empregador
2023/09 - Atual	Investigador principal (carreira) (Investigação)	Instituto de Investigación Sanitaria de Santiago de Compostela, Espanha

2022/09 - Atual	Investigador Auxiliar (carreira) (Investigação)	University of Texas at Austin Oden Institute for Computational Engineering and Sciences, Estados Unidos

2020/09 - 2023/08	Investigador principal (carreira) (Investigação)	Università degli Studi di Pavia, Itália

2020/09 - 2022/08	Investigador visitante (Investigação)	The University of Texas at Austin, Estados Unidos

2019/09 - 2020/08	Pós-doutorado (Investigação)	University of Texas at Austin Oden Institute for Computational Engineering and Sciences, Estados Unidos

2017/10 - 2019/08	Investigador (Investigação)	Università degli Studi di Pavia, Itália

2013/09 - 2017/09	Investigador (Investigação)	Universidade da Coruña, Espanha

2011/04 - 2011/08	Investigador Auxiliar (carreira) (Investigação)	Universidade da Coruña, Espanha

Projetos

Bolsa

	Designação	Financiadores
2023/09/01 - 2024/08/31	A digital twin to optimize radiotherapy of prostate cancer and patient monitoring via personalized computational forecasts based on biomechanistic models LCF/BQ/PI23/11970033 Investigador responsável Instituto de Investigación Sanitaria de Santiago de Compostela, Espanha	Fundación "la Caixa" Em curso
2023/09/01 - 2024/08/31	Imaging-based forecasting of prostate cancer histopathology and progression during active surveillance N/A Investigador	Em curso
2020/09 - 2023/08	PICModForPCa – Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer 838786 Investigador responsável University of Texas at Austin Oden Institute for Computational Engineering and Sciences, Estados Unidos Università degli Studi di Pavia, Itália	European Commission Em curso
2021/09/01 - 2022/08/31	Patient-specific computational models to forecast prostate cancer growth N/A Investigador University of Texas at Austin Oden Institute for Computational Engineering and Sciences, Estados Unidos	Concluído
2018/01 - 2019/12	Control and stabilization problems for phase field and biological systems -- Investigador Academia Romana, Roménia Istituto di Matematica Applicata e Tecnologie Informatiche Enrico Magenes Consiglio Nazionale delle Ricerche, Itália	Istituto di Matematica Applicata e Tecnologie Informatiche Enrico Magenes Consiglio Nazionale delle Ricerche Academia Romana Concluído
2017/10 - 2018/10	Towards new super-fast and accurate simulation tools based on isogeometric analysis -- Investigador Università degli Studi di Pavia, Itália	Fondazione Cariplo Regione Lombardia Concluído
2016/09/05 - 2017/09/05	Isogeometric modeling and simulation of prostate cancer: development of a new tissue-scale, personalized computational model to simulate diagnosis, prognosis, and radiotherapy BINV-CS/2016 Investigador responsável Universidade da Coruña, Espanha	Deputación da Coruña Concluído
2013/09 - 2017/09	MuSIC – Modeling and Simulation of Cancer Growth 307201 Investigador Universidade da Coruña, Espanha	European Research Council Concluído
2013/09 - 2017/09	Collaboration agreement between Consellería de Cultura, Educación e Ordenación Universitaria (Department of Education, Culture, and Universities of the Galician government) and Universidade da Coruña to support the principal investigator of the Starting Grant-ERC None Investigador Universidade da Coruña, Espanha	Xunta de Galicia Concluído
2014/01 - 2016/12	Computational modeling of cancer microvasculature: unraveling the topology and transport functionality of tumor-induced capillary networks DPI2013-44406-R Investigador Universidade da Coruña, Espanha	Gobierno de España Ministerio de Economía y Empresa Concluído
2011/04 - 2011/08	Evaluation of the environmental impact of spills in rias, estuaries, and coastal zones with numerical models PGDIT09MDS00718PR Investigador Universidade da Coruña, Espanha	Xunta de Galicia Concluído

Produções

Publicações

Artigo em revista

Hugo J. M. Miniere; Ernesto A. B. F. Lima; Guillermo Lorenzo; David A. Hormuth, II; Sophia Ty; Amy Brock; Thomas E. Yankeelov. "A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin". Cancer Biology & Therapy (2024): https://doi.org/10.1080/15384047.2024.2321769.
10.1080/15384047.2024.2321769
Guillermo Lorenzo; Jon S. Heiselman; Michael A. Liss; Michael I. Miga; Hector Gomez; Thomas E. Yankeelov; Alessandro Reali; Thomas J.R. Hughes. "A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model". Cancer Research Communications (2024): https://doi.org/10.1158/2767-9764.CRC-23-0449.
10.1158/2767-9764.CRC-23-0449
Guillermo Lorenzo; Angela M. Jarrett; Christian T. Meyer; Julie C. DiCarlo; John Virostko; Vito Quaranta; Darren R. Tyson; Thomas E. Yankeelov. "A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data". Engineering with Computers (2023): https://doi.org/10.1007/s00366-023-01873-0.
10.1007/s00366-023-01873-0
Orhun O. Davarci; Emily Y. Yang; Alexander Viguerie; Thomas E. Yankeelov; Guillermo Lorenzo. "Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States". Engineering with Computers (2023): https://doi.org/10.1007/s00366-023-01816-9.
10.1007/s00366-023-01816-9
Chengyue Wu; David A. Hormuth; Guillermo Lorenzo; Angela M. Jarrett; Federico Pineda; Frederick M. Howard; Gregory S. Karczmar; Thomas E. Yankeelov. "Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics". IEEE Transactions on Biomedical Engineering (2022): https://doi.org/10.1109/TBME.2022.3168402.
10.1109/TBME.2022.3168402
Guillermo Lorenzo; Nadia di Muzio; Chiara Lucrezia Deantoni; Cesare Cozzarini; Andrei Fodor; Alberto Briganti; Francesco Montorsi; et al. "Patient-specific forecasting of post-radiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse". iScience (2022): https://doi.org/10.1016/j.isci.2022.105430.
10.1016/j.isci.2022.105430
Chengyue Wu; Guillermo Lorenzo; David A. Hormuth, II; Ernesto A. B. F. Lima; Kalina P. Slavkova; Julie C. DiCarlo; John Virostko; et al. "Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology". Biophysics Reviews (2022): https://doi.org/10.1063/5.0086789.
10.1063/5.0086789
David A. Hormuth, II; Caleb M. Phillips; Chengyue Wu; Ernesto A. B. F. Lima; Guillermo Lorenzo; Prashant K. Jha; Angela M. Jarrett; J. Tinsley Oden; Thomas E. Yankeelov. "Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data". Cancers 13 12 (2021): 3008-3008. https://doi.org/10.3390/cancers13123008.
10.3390/cancers13123008
David A. Hormuth, , II; Angela M. Jarrett; Guillermo Lorenzo; Ernesto A. B. F. Lima; Chengyue Wu; Caroline Chung; Debra Patt; Thomas E. Yankeelov. "Math, magnets, and medicine: enabling personalized oncology". Expert Review of Precision Medicine and Drug Development (2021): https://doi.org/10.1080/23808993.2021.1878023.
10.1080/23808993.2021.1878023
Alex Viguerie; Guillermo Lorenzo; Ferdinando Auricchio; Davide Baroli; Thomas J.R. Hughes; Alessia Patton; Alessandro Reali; Thomas E. Yankeelov; Alessandro Veneziani. "Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion". Applied Mathematics Letters 111 (2021): 106617-106617. https://doi.org/10.1016/j.aml.2020.106617.
10.1016/j.aml.2020.106617
Anum S. Kazerouni; Manasa Gadde; Andrea Gardner; David A. Hormuth, II; Angela M. Jarrett; Kaitlyn E. Johnson; Ernesto A.B. F. Lima; et al. "Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology". iScience 23 12 (2020): 101807-101807. https://doi.org/10.1016/j.isci.2020.101807.
10.1016/j.isci.2020.101807
Chengyue Wu; David A. Hormuth; Todd A. Oliver; Federico Pineda; Guillermo Lorenzo; Gregory S. Karczmar; Robert D. Moser; et al. "Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics". IEEE Transactions on Medical Imaging 39 9 (2020): 2760-2771. https://doi.org/10.1109/TMI.2020.2975375.
10.1109/TMI.2020.2975375
Viguerie, Alex; Veneziani, Alessandro; Lorenzo, Guillermo; Baroli, Davide; Aretz-Nellesen, Nicole; Patton, Alessia; Yankeelov, Thomas E.; et al. "Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study". Computational Mechanics 66 5 (2020): 1131-1152. http://dx.doi.org/10.1007/s00466-020-01888-0.
10.1007/s00466-020-01888-0
Colli, Pierluigi; Gomez, Hector; Lorenzo, Guillermo; Marinoschi, Gabriela; Reali, Alessandro; Rocca, Elisabetta. "Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects". Mathematical Models and Methods in Applied Sciences 30 07 (2020): 1253-1295. http://dx.doi.org/10.1142/s0218202520500220.
10.1142/s0218202520500220
Lorenzo, Guillermo; Thomas J. R. Hughes; Alessandro Reali; Hector Gomez. "A numerical simulation study of the dual role of 5a-reductase inhibitors on tumor growth in prostates enlarged by benign prostatic hyperplasia via stress relaxation and apoptosis upregulation". Computer Methods in Applied Mechanics and Engineering 362 (2020): 112843-112843. http://dx.doi.org/10.1016/j.cma.2020.112843.
10.1016/j.cma.2020.112843
Lorenzo, Guillermo; Víctor M. Pérez-García; Alfonso Mariño; Luis A. Pérez-Romasanta; Alessandro Reali; Hector Gomez. "Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome". Journal of The Royal Society Interface (2019): http://dx.doi.org/10.1098/rsif.2019.0195.
10.1098/rsif.2019.0195
Lorenzo, Guillermo; Thomas J. R. Hughes; Pablo Dominguez-Frojan; Alessandro Reali; Hector Gomez. "Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth". Proceedings of the National Academy of Sciences 116 4 (2019): 1152-1161. https://publons.com/publon/19253726/.
10.1073/PNAS.1815735116
G. Lorenzo; M.A. Scott; K. Tew; T.J.R. Hughes; H. Gomez. "Hierarchically refined and coarsened splines for moving interface problems, with particular application to phase-field models of prostate tumor growth". Computer Methods in Applied Mechanics and Engineering 319 (2017): 515-548. https://publons.com/publon/17068593/.
10.1016/J.CMA.2017.03.009
Guillermo Lorenzo; Michael A. Scott; Kevin Tew; Thomas J. R. Hughes; Yongjie Jessica Zhang; Lei Liu; Guillermo Vilanova; Hector Gomez. "Tissue-scale, personalized modeling and simulation of prostate cancer growth". Proceedings of the National Academy of Sciences 113 48 (2016): E7663-E7671. https://publons.com/publon/9253472/.
10.1073/PNAS.1615791113

Pré-impressão

Orhun O. Davarci; Emily Y. Yang; Alexander Viguerie; Thomas E. Yankeelov; Guillermo Lorenzo. "Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States". 2022. https://doi.org/10.21203/rs.3.rs-2294725/v1.
10.21203/rs.3.rs-2294725/v1
Guillermo Lorenzo; Nadia di Muzio; Chiara Lucrezia Deantoni; Cesare Cozzarini; Andrei Fodor; Alberto Briganti; Francesco Montorsi; et al. "Patient-specific forecasting of post-radiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse". 2022. https://doi.org/10.1101/2022.03.07.22271524.
10.1101/2022.03.07.22271524

Propriedade Intelectual

Patente

Thomas J. R. Hughes; Hector Gomez; Lorenzo, Guillermo. 2023. "Simulation and patient-specific scale tissue modelling of the growth of prostate cancer". Estados Unidos.
Concedida/Emitida

Outros

Outra produção

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin. 2021. Emily Y. Yang; Grant R. Howard; Amy Brock; Thomas E. Yankeelov; Guillermo Lorenzo. https://doi.org/10.1101/2021.12.01.470781.
10.1101/2021.12.01.470781
Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects. 2019. Lorenzo, Guillermo.

Atividades

Apresentação oral de trabalho

	Título da apresentação	Nome do evento Anfitrião (Local do evento)
2024	Dr. Lorenzo has authored 45 oral and 14 poster contributions in national and international scientific conferences and workshops, being presenting author of 38 (11 as invited speaker, 2 as invited keynote speaker, 2 as invited plenary speaker) and receiving 7 awards. His participation in international congresses further includes organizing 10 minisymposia, chairing technical sessions in 10 minisymposia, and serving in 3 scientific committees. Dr. Lorenzo has also given 15 invited seminars in academic institutions worldwide.

Arbitragem científica em revista

	Nome da revista (ISSN)	Editora
2023 - Atual	PLOS ONE

Curso / Disciplina lecionado

	Disciplina	Curso (Tipo)	Instituição / Organização
2021 - 2024	Dr. Lorenzo has taught in 6 graduate courses and has supervised 2 PhD thesis (one ongoing), 3 master theses, as well as 2 undergraduate and 5 graduate research assistants. Dr. Lorenzo has also served as external reviewer of 1 PhD thesis and member of 3 PhD thesis committees.		The University of Texas at Austin, Estados Unidos Università degli Studi di Pavia, Itália Universidade de Coimbra Departamento de Física, Portugal Universidade da Coruña Escola Técnica Superior de Enxeñaría de Camiños Canais e Portos, Espanha

Distinções

Prémio

2019	Outstanding PhD thesis award Universidade da Coruña, Espanha
2017	First national graduate award in Civil Engineering 2012/2013 Gobierno de Espana Ministerio de Educación Cultura y Deporte, Espanha
2014	Graduate award in Civil Engineering 2012/2013 Xunta de Galicia, Espanha
2014	Graduate research scholarship Fundación Pedro Barrié de la Maza, Espanha
2013	Extraordinary graduate award in Civil Engineering 2012/2013 Universidade da Coruña, Espanha
2013	Award for best GPA in Civil Engineering 2012/2013 Universidade da Coruña Fundación da Enxeñería Civil de Galicia, Espanha

Outra distinção

2019	Peter O’Donnell Jr. Postdoctoral Fellowship University of Texas at Austin Oden Institute for Computational Engineering and Sciences, Estados Unidos