Hansjörg Albrecher
Hansjörg Albrecher is Professor of Actuarial Mathematics at the University of Lausanne. Professor Albrecher is a regular speaker at leading conferences on insurance. He has published extensively and serves on the editorial boards of the top academic journals in his areas of research expertise.
Professor Albrecher studies various aspects of modeling and managing risks in insurance and finance. His recent activities include the development of randomized triggers that can serve as the basis of efficient indexed reinsurance treaties and the probabilistic analysis of the profitability of blockchain mining when the risk of ruin of the miner is also considered. This latter study provides a more complete understanding of mining pools' needs and concrete optimal designs.
Gérard Ben Arous
A specialist of probability theory and its applications, Gérard Ben Arous arrived to NYU's Courant Institute as a Professor of Mathematics in 2002. He was appointed Director of the Courant Institute and Vice Provost for Science and Engineering Development in September 2011. A native of France, Professor Ben Arous studied Mathematics at École Normale Supérieure and earned his PhD from the University of Paris VII (1981). He has been a Professor at the University of Paris-Sud (Orsay), at École Normale Supérieure, and more recently at the Swiss Federal Institute of Technology in Lausanne, where he held the Chair of Stochastic Modeling. He headed the department of Mathematics at Orsay and the departments of Mathematics and Computer Science at École Normale Supérieure. He also founded a Mathematics research institute in Lausanne, the Bernoulli Center. He is the managing editor (with Amir Dembo, Stanford) of one of the main journals in his field, Probability Theory and Related Fields.
Professor Ben Arous works on probability theory (stochastic analysis, large deviations, random media and random matrices) and its connections with other domains of mathematics (partial differential equations, dynamical systems), physics (statistical mechanics of disordered media), or industrial applications. He is mainly interested in the time evolution of complex systems, and the universal aspects of their long time behavior and of their slow relaxation to equilibrium, in particular how complexity and disorder imply aging. He is a Fellow of the Institute of Mathematical Statistics (as of August 2011) and an elected member of the International Statistical Institute. He was a plenary speaker at the European Congress of Mathematics, an invited speaker at the International Congress of Mathematics, received a senior Lady Davis Fellowship (Israel), the Rollo Davison Prize (Imperial College, London) and the Montyon Prize (French Academy of Sciences).
René Carmona
René Carmona, Ph.D., is the Paul M. Wythes ’55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering. He is an associate member of the Department of Mathematics, a member of the Program in Applied and Computational Mathematics, and Director of Graduate Studies of the Bendheim Center for Finance where he oversees the Master in Finance program. He obtained a Ph.D. in Probability from Marseille University where he held his first academic job. After time spent at Cornell and a couple of stints at Princeton, he moved to the University of California at Irvine in 1981 and eventually Princeton University in 1995.
Dr Carmona is a Fellow of the Institute of Mathematical Statistics (IMS) since 1984, of the Society for Industrial and Applied Mathematics (SIAM) since 2009 and of the American Mathematical Society (AMS) since 2020. He is the founding chair of the SIAM Activity Group on Financial Mathematics and Engineering, a founding editor of the Electronic Journal & Communications in Probability, and the SIAM Journal on Financial Mathematics. He is on the editorial board of several peer-reviewed journals and book series. He was/is on the scientific board of several research institutes, more recently, the NSF Institute for Mathematical and Statistical Innovation (IMSI) in Chicago.
His publications include over one hundred fifty articles and eleven books in probability, statistics, mathematical physics, signal analysis and financial mathematics. He also developed computer programs for teaching and research. He has worked on the commodity and energy markets as well as the credit markets, and he is recognized as a leading researcher and consultant in these areas. Over the last decade his research focused on the development of a probabilistic approach to Mean Field Games and Mean Field Control. His two-volume book on the subject, co-authored with F. Delarue, was the recipient of the J.L. Doob Prize awarded every three years by the American Mathematical Society.
In 2020 he was awarded a competitive ARPA-E grant under the Performance-based Energy Resource Feedback, Optimization and Risk Management (PERFORM) program, and together with colleagues from Princeton University, U.C. Santa Barbara, and Scoville Risk Partners, leads thewebpush research team Operational Risk Financialization of Electricity Under Stochasticity (ORFEUS).
To find out more about René's research and activities, you may visit his website here.
David Gamarnik
David Gamarnik is a Nanyang Technological University Professor of Operations Research at the Operations Research and Statistics Group, Sloan School of Management of Massachusetts Institute of Technology (MIT). He received a B.A. in Mathematics from New York University in 1993 and a Ph.D. in Operations Research from MIT in 1998. Since then, he was a research staff member of IBM T.J. Watson Research Center, before joining MIT in 2005.
His research interests include discrete probability, optimization and algorithms, quantum computing, statistics and machine learning, stochastic processes and queueing theory. He is a fellow of the American Mathematical Society, the Institute for Mathematical Statistics and the Institute for Operations Research and Management Science. He was a recipient of the Erlang Prize and the Best Publication Award from the Applied Probability Society of INFORMS, and was a finalist in Franz Edelman Prize competition of INFORMS. He has co-authored a textbook on queueing theory, and currently serves as an area editor for the Mathematics of Operations Research journal. In the past, he served as an area editor of the Operations Research journal, and as an associate editor of the Mathematics of Operations Research, the Annals of Applied Probability, Queueing Systems and the Stochastic Systems journals.
To find out more about David's research and activities, you may visit his website here.
Bruce Hajek
Bruce Hajek is the Leonard C. and Mary Lou Hoeft Endowed Chair in Engineering at the Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. He is also a professor of the department and a research professor of the Coordinated Science Laboratory (CSL). His research interests are communication networks, auction theory, stochastic analysis, combinatorial optimization, machine learning, information theory, and bioinformatics. He was awarded multiple honors, including the ACM Sigmetrics Achievement Award in 2015; he gave the Markov Lecture at INFORMS 2006, he got the IEEE Kojo Kobayashi Computers and Communications Award in 2003, and has been part of the UIUC List of Teachers Rated Excellent for several years.
To find out more about Bruce's research and activities, you may visit his website here.
Nike Sun
Nike Sun is a Professor of Mathematics, as of July 2024. She joined the department as Associate Professor with tenure in September 2018. Her research interest is at the intersection of probability, statistical physics, and theory of computing. She completed B.A. in Mathematics and M.A. in Statistics degrees at Harvard in 2009, and an MASt in Mathematics at Cambridge in 2010. She received her Ph.D. in Statistics from Stanford University in 2014 under the supervision of Amir Dembo. She subsequently held a Schramm fellowship at Microsoft New England and MIT Mathematics in 2014-2015, and a Simons postdoctoral fellowship at Berkeley in 2016. She was an Assistant Professor at the Berkeley Statistics Department from 2016 to 2018. She received the 2017 Rollo Davidson Prize (shared with Jian Ding) and the 2020 Wolfgang Doeblin Prize.