معرفی
Haipeng Gao is a Lecturer at the Department of Mathematics and Statistics, San José State University. He holds a Ph.D. in Statistics & Operations Research from the University of North Carolina at Chapel Hill (2019), an M.S. in Mathematics from New York University’s Courant Institute (2015), and a B.S. in Mathematics from the University of North Carolina at Chapel Hill (2012).
- Education:
- Ph.D., Statistics & Operations Research, UNC Chapel Hill, 2019
- M.S., Mathematics, NYU Courant Institute, 2015
- B.S., Mathematics, UNC Chapel Hill, 2012
His research focuses on applied machine learning, dynamic models in time series, statistical computation, Bayesian inference, and simulation. His recent work emphasizes Bayesian methods for stochastic cusp catastrophe models, particularly with partially observed data. Teaching includes Math 161A (Applied Statistics and Probability I).
No scientific awards or grants are explicitly listed. He advises no students in the provided data. No lab affiliations are mentioned.
