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Olivier Morin, Ph.D.

Associate Professor
Division of Physics
Department of Radiation Oncology

Married high-school sweetheart, father of two, soccer player and former international dance teacher.

Meet Dr. Morin

Everyday I am privileged to pursue scientific discoveries and teach the next generation of leaders with the goal of personalizing cancer treatment for all patients.

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Dr. Olivier Morin Lab

Research Center

Research and Creative Activities Summary

Our research laboratory creates multi-omics prediction models for personalized cancer diagnosis and treatment. I serve as the principal investigator for the MEDomics Consortium (www.medomics.ai). Our group has active research activities in quantitative imaging, natural language processing and the creation of prognostic machine learning models. Our informatics efforts use a wealth of digital information to build point-of-care artificial intelligence tools aimed at assisting physicians in the clinic. Novel algorithms are being developed to produce interpretable multi-criteria analyses using clinical, imaging and genetics data.

Education

1999-2003	Laval University, Québec, Canada	BSE	Engineering Physics
2003-2007	University of California, Berkeley/University of California, San Francisco	PhD	Bioengineering
2005	Haas School of Business, University of California Berkeley	MBA certificate	Management of New Technology
2008-2010	University of California, San Francisco, CA	Medical Physics Resident	Radiation Oncology

Professional Experience

2018-present	UCSF	Associate Professor	Department of Radiation Oncology
2011-2018	UCSF	Assistant Professor	Department of Radiation Oncology
2010-2011	UCSF	Clinical Instructor	Department of Radiation Oncology

Awards & Honors

1999	Entrance Fellowship, Awarded on Merit by School of Engineering, Laval University.
2000	Undergraduate Scholarships, Awarded on Merit with Nation-Wide Contest, Natural Sciences and Engineering Research Council of Canada (NSERC).
2001	Undergraduate Summer Student Scholarships, Awarded on Merit with Nation-Wide Contest, Canada’s Laboratory of Particle and Nuclear Physics (TRIUMF).
2002	Canadian Student Exchange Fellowship (CANEX), Awarded on Merit by University, University of Toronto.
2002	Undergraduate Scholarships, Awarded on Merit with Nation-Wide Contest, Natural Sciences and Engineering Research Council of Canada (NSERC).
2003	Master Scholarship, Awarded on Merit with Nation-Wide Contest, Natural Sciences and Engineering Research Council of Canada (NSERC).
2004	Graduate Health Sciences Fellowship, Awarded on Merit by Graduate School, University of California San Francisco.
2005	Doctoral Scholarship, Awarded on Merit with Nation-Wide Contest, Natural Sciences and Engineering Research Council of Canada (NSERC).
2006	Student Travel Price, Awarded based on Abstract Quality, Electronic Portal imaging IX^th Conference, Melbourne, Australia.
2006	Doctoral Scholarship, Awarded on Merit by Quebec Province Contest, Fond de Recherche en Santé du Québec.
2011	Top 4 Cited (scientific articles published in IJROBP in the last five years). Extracted from Scopus (on Wed Nov 11 06:17:49 GMT 2009)
2012	Medical Physics Editor’s pick for May 2012. Journal of Medical Physics
2014	Nominated to the Board of Innovators and Research. IBA Dosimetry, Germany
2015	Elected President of the Northern California Chapter of the AAPM association
2015	Named Member of the Scientific Committee of the International Symposium on Electronic Portal Imaging
2016	Selected member of the AAPM Task Group Report on “Brenchmark, recommendations and guidelines in radiomic analysis.”
2017	Recipient of the NCI SPORE Grant for Delta-Radiomics Pre-Clinical Research
2017	Selected for the ACR Data Science Institute. Creation of Radiology/Radiation Oncology Use-Cases
2018	Selected for the NRG Brain Radiomics Committee
2019	Research laboratory featured in ASTRO News. https://www.astro.org/News-and-Publications/ASTROnews/2019/2019-Summer-A…
2020	Invited Speaker to CERRO (EXPERIMENTAL RESEARCH IN RADIATION ONCOLOGY) meeting. CERRO 2020, France

https://www.ncbi.nlm.nih.gov/myncbi/1l3Shbo1yyfAz/bibliography/public/

https://scholar.google.com/citations?hl=en&user=awU_VPkAAAAJ&view_op=list_works&sortby=pubdate

Recent Significant Publications

Pouliot J, Bani-Hashemi A, Chen J, Svatos M, Ghelmansarai F, Mitschke M, Aubin M, Xia P, Morin O, Bucci K, Roach M, Hernandez P, Zheng Z, Hristov D, Verhey L. Low-dose megavoltage cone-beam CT for radiation therapy. Int J Radiat Oncol Biol Phys. 2005 Feb 01; 61(2):552-60. PMID: 15736320

Morin O, Gillis A, Chen J, Aubin M, Bucci MK, Roach M, Pouliot J. Megavoltage cone-beam CT: system description and clinical applications. Med Dosim. 2006; 31(1):51-61. PMID: 16551529

Morin O, Chen J, Aubin M, Gillis A, Aubry JF, Bose S, Chen H, Descovich M, Xia P, Pouliot J. Dose calculation using megavoltage cone-beam CT. Int J Radiat Oncol Biol Phys. 2007 Mar 15; 67(4):1201-10. PMID: 17336221

Morin O, Gillis A, Descovich M, Chen J, Aubin M, Aubry JF, Chen H, Gottschalk AR, Xia P, Pouliot J. Patient dose considerations for routine megavoltage cone-beam CT imaging. Med Phys. 2007 May; 34(5):1819-27. PMID: 17555263

Morin O, Aubry JF, Aubin M, Chen J, Descovich M, Hashemi AB, Pouliot J. Physical performance and image optimization of megavoltage cone-beam CT. Med Phys. 2009 Apr; 36(4):1421-32. PMID: 19472649

Morin O, Vallières M, Jochems A, Woodruff HC, Valdes G, Braunstein SE, Wildberger JE, Villanueva-Meyer JE, Kearney V, Yom SS, Solberg TD, Lambin P. A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. Int J Radiat Oncol Biol Phys. 2018 11 15; 102(4):1074-1082. PMID: 30170101

Morin O, Chen WC, Nassiri F, Susko M, Magill ST, Vasudevan HN, Wu A, Vallières M, Gennatas ED, Valdes G, Pekmezci M, Alcaide-Leon P, Choudhury A, Interian Y, Mortezavi S, Turgutlu K, Bush NAO, Solberg TD, Braunstein SE, Sneed PK, Perry A, Zadeh G, McDermott MW, Villanueva-Meyer JE, Raleigh DR. Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival. Neurooncol Adv. 2019 May-Dec; 1(1):vdz011. PMID: 31608329. PMCID: PMC6777505

Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology. 2020 Mar 10; 191145. PMID: 32154773

Morin, O, Vallières, M, Braunstein, S, Ginart, JB, Upadhaya, T, Woodruff, HC, Zwanenburg, A, Chatterjee, A, Villanueva-Meyer, JE, Valdes, G, Chen, W, Hong, JC, Yom, S, Solberg, T, Löck, S, Seuntjens, J, Park, C, Lambin, P. An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication. Nature Cancer volume 2, pages 709–722 (2021)

Primakov, S.P., Ibrahim, A., van Timmeren, J.E. et al. Automated detection and segmentation of non-small cell lung cancer computed tomography images. Nat Commun13, 3423 (2022). https://doi.org/10.1038/s41467-022-30841-3

Phillip D.H. Wall, Emily Hirata, Olivier Morin, Gilmer Valdes, Alon Witztum, Prospective Clinical Validation of Virtual Patient-Specific Quality Assurance of Volumetric Modulated Arc Therapy Radiation Therapy Plans, International Journal of Radiation Oncology*Biology*Physics, Volume 113, Issue 5, 2022, Pages 1091-1102, ISSN 0360-3016, https://doi.org/10.1016/j.ijrobp.2022.04.040

Michaël Claessens, Carmen Seller Oria, Charlotte L. Brouwer, Benjamin P. Ziemer, Jessica E. Scholey, Hui Lin, Alon Witztum, Olivier Morin, Issam El Naqa, Wouter Van Elmpt, Dirk Verellen, Quality Assurance for AI-Based Applications in Radiation Therapy, Seminars in Radiation Oncology, Volume 32, Issue 4, 2022, Pages 421-431, ISSN 1053-4296, https://doi.org/10.1016/j.semradonc.2022.06.011.

Sneed, Penny K et al. Adverse Radiation Effect and Freedom from Progression Following Repeat Stereotactic Radiosurgery for Brain Metastases. Journal of neurosurgery. 138.1 (2023): 104–112. Web.