Alexandre Vivot

Alexandre Vivot, MD, PhD

Dr Vivot is an  assistant professor (Assistant Hospitalo-Universitaire) of biostatistics and medical informatics at the Paris Descartes University and a researcher at the Methods Team where he works on methodological issues for evaluating Artificial Intelligence (AI) algorithms especially in oncology.

After obtaining his MD at the University of Franche-Comté, Dr Vivot completed a residency in public health and social medicine at the Bordeaux School of Public Health including a 6-month internship at the Harvard School of Public Health under the supervision of Dr M. Maria Glymour. In 2013,  he joined the Methods Team and did his PhD  under the supervision of Dr Raphaël Porcher, working on the methodological evaluation of predictive biomarkers in oncology (  He also worked on the methods to estimate the value of new anticancer agents.

Orcid number : 0000-0001-9281-3129

Research interests

  • Methodological issues in the development of AI-based algorithms in medicine, especially in oncology

Best publications

  • Vivot A, Créquit P, Porcher R. Use of Late-Life Expectancy for Assessing the Long-Term Benefit of Immune Checkpoint Inhibitors. J Natl Cancer Inst. January 2019. doi:1093/jnci/djy211

  • Vo T-T, Vivot A, Porcher R. Impact of biomarker-based design strategies on the risk of false-positive findings in targeted therapy evaluation. Clin Cancer Res. January 2018:clincanres.0328.2018. doi:1158/1078-0432.CCR-18-0328

  • Vivot A, Jacot J, Zeitoun J-D, Ravaud P, Crequit P, Porcher R. Clinical Benefit, Price and Approval Characteristics of FDA-approved New Drugs for Treating Advanced Solid Cancer, 2000-2015. Ann Oncol. 2017;28(5):1111-1116. doi:1093/annonc/mdx053

  • Vivot A, Boutron I, Béraud-Chaulet G, Zeitoun J-D, Ravaud P, Porcher R. Evidence for Treatment-by-Biomarker interaction for FDA-approved Oncology Drugs with Required Pharmacogenomic Biomarker Testing. Scientific Reports. 2017;7(1):6882. doi:1038/s41598-017-07358-7

  • Vivot A, Power MC, Glymour MM, et al. Jump, Hop, or Skip: Modeling Practice Effects in Studies of Determinants of Cognitive Change in Older Adults. Am J Epidemiol. January 2016:kwv212.