Welcome to Statistics and Actuarial Science

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.

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.

Professor Mu Zhu has been named one of the 2024 University Research Chairs.

Mu's initial research interest was dimension reduction. In the early years of his faculty career, he devoted much attention to efficient kernel machines for rare target detection and ensemble methods for variable selection. He also worked on algorithms for making personalized recommendations, and applications of machine learning to healthcare informatics.

While ensemble learning continued to captivate his curiosity, in more recent years Mu has explored a hodgepodge of different topics—such as evaluation metrics, protein structures, transactional networks, and genetic epistasis. He also wrote a textbook for data science students. At present, he is studying various problems about dependence modeling, large covariance matrices, and generative neural networks.

His appointment was effective July 1, 2024.

Originally announced on the Daily Bulletin.