Tingyue Gan received her Ph.D. in Applied Mathematics from the University of Maryland, College Park. She joined CDAR in July 2018. Her current research interests are natural language processing, graph embedding, and their use cases.
Hubeyb Gurdogan holds Master's degrees in pure mathematics from Bilkent University and Syracuse University. He obtained his PhD in Mathematics in 2021 from Florida State University under the supervision of Prof. Alec Kercheval. Hubeyb joined Consortium for Data Analytics in Risk (CDAR) in December 2021. His primary research interests include stochastic analysis, high dimensional statistics, and neural networks with an emphasis on mathematical finance.
Saad Mouti completed his Ph.D. in Financial and Actuarial Mathematics at Pierre and Marie Curie University (Paris 6, France) in 2017. Prior to that, he obtained a financial engineering diploma from the National School of Applied Mathematics and Computer Science of Grenoble in 2010 and an M.Sc. in Statistical Processing of Information from Paris-Dauphine University in 2011. Saad’s thesis was financed by AXA to address different financial risks for the life insurance industry and englobed the pricing and hedging of life insurance products and...