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University of California San Francisco

Our Team

Olivier Morin, Ph.D.

Associate Professor Division of Physics
Chief of Physics, Interim
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.

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

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

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 IXth 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
Publications

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)

 

Redefining Possible