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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Identification

Personal identification

Full name: Guillermo Lorenzo Gomez

Citation names

Lorenzo, Guillermo

Author identifiers

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

Email addresses

guillermolorenzogomez@gmail.com (Personal)

Addresses

Oden Institute for Computational Engineering and Sciences, 201 E. 24th Street, 78712-1229, Austin, TX, Austin, TX, United States (Professional)
Health Research Institute of Santiago de Compostela, 15706, Santiago de Compostela, Santiago de Compostela, Spain (Professional)

Websites

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

Knowledge fields

Exact Sciences - Mathematics - Applied Mathematics
Engineering and Technology - Mechanical Engineering - Applied Mechanics
Natural sciences - Biological Sciences - Biophysics
Engineering and Technology

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Spanish; Castilian (Mother tongue)
Galician (Mother tongue)
English	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)
Italian	Upper intermediate (B2)	Advanced (C1)	Upper intermediate (B2)	Advanced (C1)	Upper intermediate (B2)
French	Intermediate (B1)	Intermediate (B1)	Intermediate (B1)	Intermediate (B1)	Intermediate (B1)

Education

	Degree	Classification
2014/11 - 2018/06 Concluded	PhD in Civil Engineering (Doctor) Universidade da Coruña, Spain
2013/10 - 2014/07 Concluded	MSc in Research in Civil Engineering (Master) Universidade da Coruña, Spain
2007/09 - 2013/07 Concluded	Coupled BSc and MSc in Civil Engineering (Graduado) Universidade da Coruña, Spain

Affiliation

Science

	Category Host institution	Employer
2023/09 - Current	Principal Investigator (Research)	Instituto de Investigación Sanitaria de Santiago de Compostela, Spain

2022/09 - Current	Auxiliary Researcher (Research)	University of Texas at Austin Oden Institute for Computational Engineering and Sciences, United States

2020/09 - 2023/08	Principal Investigator (Research)	Università degli Studi di Pavia, Italy

2020/09 - 2022/08	Visiting Researcher (Research)	The University of Texas at Austin, United States

2019/09 - 2020/08	Postdoc (Research)	University of Texas at Austin Oden Institute for Computational Engineering and Sciences, United States

2017/10 - 2019/08	Researcher (Research)	Università degli Studi di Pavia, Italy

2013/09 - 2017/09	Researcher (Research)	Universidade da Coruña, Spain

2011/04 - 2011/08	Auxiliary Researcher (Research)	Universidade da Coruña, Spain

Projects

Grant

	Designation	Funders
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 Principal investigator Instituto de Investigación Sanitaria de Santiago de Compostela, Spain	Fundación "la Caixa" Ongoing
2023/09/01 - 2024/08/31	Imaging-based forecasting of prostate cancer histopathology and progression during active surveillance N/A Researcher	Ongoing
2020/09 - 2023/08	PICModForPCa – Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer 838786 Principal investigator University of Texas at Austin Oden Institute for Computational Engineering and Sciences, United States Università degli Studi di Pavia, Italy	European Commission Ongoing
2021/09/01 - 2022/08/31	Patient-specific computational models to forecast prostate cancer growth N/A Researcher University of Texas at Austin Oden Institute for Computational Engineering and Sciences, United States	Concluded
2018/01 - 2019/12	Control and stabilization problems for phase field and biological systems -- Researcher Academia Romana, Romania Istituto di Matematica Applicata e Tecnologie Informatiche Enrico Magenes Consiglio Nazionale delle Ricerche, Italy	Istituto di Matematica Applicata e Tecnologie Informatiche Enrico Magenes Consiglio Nazionale delle Ricerche Academia Romana Concluded
2017/10 - 2018/10	Towards new super-fast and accurate simulation tools based on isogeometric analysis -- Researcher Università degli Studi di Pavia, Italy	Fondazione Cariplo Regione Lombardia Concluded
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 Principal investigator Universidade da Coruña, Spain	Deputación da Coruña Concluded
2013/09 - 2017/09	MuSIC – Modeling and Simulation of Cancer Growth 307201 Researcher Universidade da Coruña, Spain	European Research Council Concluded
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 Researcher Universidade da Coruña, Spain	Xunta de Galicia Concluded
2014/01 - 2016/12	Computational modeling of cancer microvasculature: unraveling the topology and transport functionality of tumor-induced capillary networks DPI2013-44406-R Researcher Universidade da Coruña, Spain	Gobierno de España Ministerio de Economía y Empresa Concluded
2011/04 - 2011/08	Evaluation of the environmental impact of spills in rias, estuaries, and coastal zones with numerical models PGDIT09MDS00718PR Researcher Universidade da Coruña, Spain	Xunta de Galicia Concluded

Outputs

Publications

Journal article

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

Preprint

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

Intellectual property

Patent

Thomas J. R. Hughes; Hector Gomez; Lorenzo, Guillermo. 2023. "Simulation and patient-specific scale tissue modelling of the growth of prostate cancer". United States.
Granted/Issued

Other

Other output

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.

Activities

Oral presentation

	Presentation title	Event name Host (Event location)
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.

Course / Discipline taught

	Academic session	Degree Subject (Type)	Institution / Organization
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, United States Università degli Studi di Pavia, Italy Universidade de Coimbra Departamento de Física, Portugal Universidade da Coruña Escola Técnica Superior de Enxeñaría de Camiños Canais e Portos, Spain

Journal scientific committee

	Journal title (ISSN)	Publisher
2023 - Current	PLOS ONE

Distinctions

Award

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

Other distinction

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