Organizers
José BLANCHET
Columbia University
Jose Blanchet is a faculty member in the departments of IEOR and Statistics at Columbia University. Jose holds a Ph.D. in Management Science and Engineering from Stanford University. Prior to joining Columbia he was a faculty member in the Statistics Department at Harvard University. Jose is a recipient of the 2009 Best Publication Award given by the INFORMS Applied Probability Society and of the 2010 Erlang Prize. He also received a PECASE award given by NSF in 2010. He worked as an analyst inProtego Financial Advisors, a leading investment bank in Mexico. He has research interests in applied probability and Monte Carlo methods. He serves in the editorial board of Advances in Applied Probability, Journal of Applied Probability, Mathematics of Operations Research, QUESTA, Stochastic Models, and Stochastic Systems.
Stephane LOISEL
ISFA, Lyon 1 University
Professor Stephane Loisel holds a PhD in applied mathematics from University of Lyon, a MSc in actuarial science and finance, and is a fellow and former member of the board of the Institut des Actuaires. He is now full professor at ISFA , Universite Lyon 1. He was visiting professor at ORIE, Cornell University in 2014 and has been lecturing for several years in Universite Paris 6 and ENSAE. Associate Editor of IME, MCA P, BFA , Risks and co-editor of EAJ, his main research interests include ruin theory with dependent risks, Solvency II, regulation and ERM, longevity risk and customer behaviour in insurance. He is the coordinator of the ANR 4-year research project LoLitA (Longevity with Lifestyle Adjustments) and of the research chair Actuariat Durable sponsored by Milliman Paris. He received the SCOR PhD award in 2005, the Lloyd’s Science of Risk runner-up prize in 2011 and the Hachemeister prize in 2013. Stephane also serves on the CERA review panel and is the scientific director of the French CERA program. He is a board member and member of the audit committee of April Group.
Speakers
Lam DANG
BNP Paribas Cardif

Lyon
Edouard holds masters of engineering, biostatistics, biogerontology and actuarial risks from Centrale Paris, UCLA, Paris V, ISFA. He worked on web behavioral models (IBM Research Center in Germany, IPO.com in the USA), biomedical and bioinformatics research (cardiopulmonary remodelling at Marie-Lannelongue and Inserm, genetics at the Pasteur Institute), actuarial derivatives and statistics from large databases regarding financial risks, longevity risks and health risks (Derivatives at HSBC, AXA Group and AXA France, Celtipharm). Passionnate in transforming societies towards longer and healthier lives, he tries to have an understanding both from biomedical and actuarial sciences and he is co-founder and member of the board of the International Longevity Alliance, an association present in more than 50 countries.
Pierre et Marie Curie University, Paris
Nicole El Karoui is currently emeritus professor of Applied Mathematics at the Laboratoire de Probabilités et Modèles Aléatoires of Pierre and Marie Curie University and previously professor at the École Polytechnique and Université du Maine (France). Her research has contributed to the application of probability and stochastic differential equations to modeling and risk management in financial markets. Nicole’s research is focused on probability theory, stochastic control theory and mathematical finance and more recently on population dynamics and longevity risk. Her contributions focused on the mathematical theory of stochastic control, backward stochastic differential equations (BSDEs) and their application in mathematical finance. In mathematical finance, she is known for her work on the robustness of the Black-Scholes hedging strategy, superhedging of contingent claims and the change of numéraire method for option pricing. Nicole is the coordinator of ANR Project LoLitA (Longevity with Lifestyle Adjustments) in Pierre and Marie Curie University.
Christophe GEISSLER
Advestis

Nabil KAZI-TANI
ISFA, Lyon 1 University

Nabil specializes in probability theory, in the study of stochastic differential equations, dynamic risk measures and optimization, with applications in actuarial science and in particular in reinsurance models.
JingChen LIU
Columbia University, New York City

Xavier MILHAUD
ISFA, Lyon 1 University

Karthyek MURTHY
Columbia University

Frédéric PLANCHET
ISFA, Lyon 1 University

Evgeny PUTIN
Insilico Medicine
Evgeny Putin is a Deep Learning Lead at Insilico Medicine, Inc, a bioinformatics company headquartered at the Emerging Technology Centers at the Johns Hopkins University in Baltimore applying deep learning techniques to biomarker development and drug discovery and repurposing for cancer and age¬-related diseases.
A winner of multiple mathematical competitions and olympiads, E.Putin did his graduate work at the Mathematics & Mechanics Faculty of Saint Petersburg State University. Evgeny Putin also works at the ITMO University teaching Deep Learning courses and coaches Kaggle competition teams at the university. He was one of the winners of the 6-day hackathon on deep learning, DeepHack.Game, at the Moscow Institute of Physics and Technology. E.Putin is one of the leaders of Phrama.AI, an Artificial Intelligence division of Insilico Medicine, where he is heading several projects evaluating aging biomarkers based on common blood biochemistry tests and transcriptomic data.
Christian ROBERT
ISFA, Lyon 1 University

He is now full professor at ISFA, Université Lyon 1. Formerly, he was Associate Professor in Actuarial Science at ENSAE and Director of Graduate Studies at the Centre d’Etudes Actuarielles. Christian is an Associate Editor of the European Actuarial Journal.
His main research interests include extreme value theory and statistics, actuarial theory and practice, and statistical finance.
Matthias SCHERER
University of Munich
Prof. Scherer’s (b. 1979) research area is mathematical finance and stochastics. The aim of his research is to appraise complex financial products and quantify their risks. His work mainly revolves around modeling dependency structures and assessing portfolio derivatives.
Prof. Scherer studied business mathematics at the University of Ulm. He obtained his Master of Science in mathematics at the University of Syracuse (USA). He went on to do his doctorate in structural credit risk models at the University of Ulm (2007). In early 2007, he became coordinator of TUM’s “Finance and Information Management” elite study program. Prior to his appointment as associate professor of mathematical finance (2010), he acted as interim professor for two semesters.
Nicholas TATONETTI
Columbia University
Dr. Nicholas Tatonetti is assistant professor of biomedical informatics in the Departments of Biomedical Informatics, Systems Biology, and Medicine and is Director of Clinical Informatics at the Herbert Irving Comprehensive Cancer Center at Columbia University. He received his PhD from Stanford University where he focused on the development of novel statistical and computational methods for observational data mining. He applied these methods to drug safety surveillance where he discovered and validated new drug effects and interactions. His lab at Columbia is focused on expanding upon his previous work in detecting, explaining, and validating drug effects and drug interactions from large-scale observational data. Widely published in both clinical and bioinformatics, Dr. Tatonetti is passionate about the integration of hospital data (stored in the electronic health records) and high-dimensional biological data (captured using next-generation sequencing, high-throughput screening, and other « omics » technologies). Dr. Tatonetti has been featured by the New York Times, Genome Web, and Science Careers. His work has been picked up by the mainstream and scientific media and generated thousands of news articles.
Julien VELCIN
Lyon University
Julien Velcin is associate professor of Computer Science at the University Lyon 2, with the qualification for supervising research (HDR, in French). I am a member of the Data Mining & Decision team of ERIC Lab. His current research focuses on machine learning with applications to the analysis of social media and opinion mining. He is particularly interested in weakly-supervised clustering techniques and topic modeling.
Alexander ZHAVORONKOV
Insilico Medicine
Alex Zhavoronkov, PhD is the CEO of Insilico Medicine, Inc a Baltimore-based company utilizing big data analysis and deep learning for aging research and drug discovery. He also heads the International Aging Research Portfolio (IARP) knowledge management system for aging research and serves as the chief science officer of the Biogerontology Research Foundation in the UK.
Prior to Insilico Medicine, he co-founded the First Oncology Research and Advisory Center (FORAC), served as the director of ATI Technologies (Nasdaq: AMD) and as the director of GTCBio. Dr. Zhavoronkov is the author of over forty peer-reviewed scientific as well as popular papers and books including “The Ageless Generation: how biomedical advances will transform the global economy” published by Palgrave Macmillan.
He holds two bachelor degrees from Queen’s University, a masters in biotechnology from Johns Hopkins University and a PhD in physics and mathematics from the Moscow State University and is the international adjunct professor at the Moscow Institute of Physics and Technology.