About

Étienne Marceau is a Full Professor at the School of Actuarial Science at Université Laval. He has been Distinguished Visiting Scholar at UNSW (2019), Visiting Professor at Université Lyon III (2005-2024), and Adjunct Professor at McGill University (2015-2021). His research interests focus on topics which are the intersections of actuarial science, applied probability, and applied statistics, such as dependence modeling and actuarial modeling. He has taught courses on actuarial modeling, risk theory, life contingencies, survival models, and financial mathematics. Strongly believing in HQP training, he has supervised 9 PhD, 31 MSc, and 35 BSc students. He has published more than 60 scientific articles, mostly with HQP, and he is the author of “Modélisation et évaluation quantitative des risques en actuariat” (Springer 2014). He holds the NSERC Discovery Grant and he co-PI on two NSERC CRD grants. He is the co-chair of the ACT&RISK laboratory at Université Laval, of the CIMMUL, and a member of the editorial board of Insurance: Mathematics and Economics. He has been chair CRM-Quantact. He has also been involved with the SOA, as a Faculty for the Course 7 and a Faculty Advisor on the evaluation committee of the CAE of the SOA. He is a member of CIMMUL, CRDM , and CIRCERB. He served as an external research and development advisor, notably for Aon Hewitt, the Quebec Pension Plan and Industrial Alliance.

Aaditya Ramdas is an Associate Professor in the Department of Statistics and Data Science and the Machine Learning Department at Carnegie Mellon University, as well as a visiting academic at Amazon Research. Aaditya received the Sloan fellowship in mathematics, the IMS Peter Gavin Hall Early Career Prize, the inaugural COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, faculty research awards from Google and Adobe, and the Umesh K. Gavasker thesis award for his PhD. His research in mathematical statistics and learning focuses on designing algorithms that both have strong theoretical guarantees and also work well in practice. Key areas of interest include post-selection inference, game-theoretic statistics and predictive uncertainty quantification. His areas of applied interest include privacy, neuroscience, genetics and auditing.