Yian Ma

Yian Ma is an Assistant Professor at the University of California San Diego (UCSD). His research focuses on scalable inference methods, time series analysis, and sequential decision making, with an emphasis on developing Bayesian algorithms for uncertainty quantification and establishing their computational-statistical guarantees. Prior to UCSD, he served as a post-doctoral fellow at UC Berkeley. He holds a Ph.D. from the University of Washington and a bachelor’s degree from Shanghai Jiao Tong University.

Education:

• Ph.D., University of Washington
• Bachelor's, Shanghai Jiao Tong University

Research Interests: Yian Ma’s work bridges theoretical foundations and practical scalability in machine learning. He explores advanced Bayesian methodologies to address challenges in dynamic data analysis and decision processes, ensuring rigorous guarantees for both computational efficiency and statistical accuracy.