Dr. Kean Tan

Biography

Kean Ming Tan is an Associate Professor in the Department of Statistics at the University of Michigan, where he specializes in statistical methodology and its applications. His research encompasses a variety of areas, including statistical learning, Bayesian analysis, and high-dimensional data analysis. With a focus on developing innovative statistical techniques, Tan aims to address complex real-world problems using rigorous statistical approaches. His work contributes to the advancement of methodologies that are widely applicable across different fields such as social sciences, biology, and engineering. In addition to his research, Tan is actively involved in teaching statistics at both undergraduate and graduate levels, equipping students with the necessary skills to apply statistical reasoning effectively. His commitment to statistical education is evident in his engaging teaching style and the development of educational materials aimed at enhancing the learning experience of his students.

Research Interests

Experience