The Department of Statistics and Actuarial Science is a top-tier academic unit among statistical and actuarial science globally. Our community is engaged in topics such as actuarial science, biostatistics, data science, quantitative finance, statistics, & statistics-computing. Our department is home to 70 full-time faculty researching diverse and exciting areas, over 2000 undergraduate students from around the world, and approximately 200 graduate students in master, doctoral, and professional programs.
News
Department of Statistics and Actuarial Science is pleased to welcome Max Nendel as an Associate Professor
Nendel, Max (B.Sc. (major: mathematics, minor: economics), 2012, M.Sc. (major: mathematics, minor: economics), 2014, both at University of Konstanz) joined the Department of Statistics and Actuarial Science on December 1st, 2024, as an Associate Professor. Max obtained his PhD in mathematics from University of Konstanz in December 2017. In June 2021, he was appointed as a junior professor of Mathematical Economics and Finance at Bielefeld University's Center for Mathematical Economics. He has been PI in the Collaborative Research Center 1283 and in the Research Training Group 2865. His research activities are primarily concerned with model uncertainty in economics, finance, and actuarial science with a focus on the valuation of financial and insurance products under model uncertainty using non-linear partial differential equations. In addition, he has worked on mathematical topics related to regulatory policymaking, risk measures, and mean field games. In the past, he was guest lecturer at Universidad del Norte in Barranquilla and Konstanz University of Applied Sciences.
Congratulations, David Awosoga, Class of 2024 valedictorian.
The Department of Statisitcs and Actuarial Science would like to congratulate David Awosoga for representing the Faculty of Math as valedictorian for the Class of 2024.
David, who was supervised by Samuel Wong for his MMath Data Science, will continue his education with a PhD in Statistics.
To learn more about David, please continue reading the Bridging knowledge and action to create real-world solutions article.
Department of Statistics and Actuarial Science is pleased to welcome Subha Maity as an Assistant Professor
Maity, Subha (B.Stat, 2016; M.Stat, 2018, Indian Statistical Institute, Kolkata; Ph.D. (Statistics), 2024, University of Michigan) has joined the Department of Statistics and Actuarial Science on October 1st, 2024, as an Assistant Professor. Before that, Subha Maity was a Research Associate at the University of Pennsylvania. His primary research focuses on transfer learning and algorithmic fairness, with a broader focus on problems at the intersection of statistical theory and machine learning. His current research focuses on developing statistical methods for addressing distribution shift using pre-trained models.