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I work at the intersection of machine learning, statistics, and business, focusing on the design of novel statistical models and computational algorithms for solving cutting-edge business problems. I received a Ph.D. in Computer Science and an M.A. in Statistics from UC Berkeley (advisors: Michael I. Jordan and Yun S. Song).
Research Interests:
Foundation Models, Synthetic Data Generation, Deep Generative Models
User Behavioral Dynamics Modeling, Neural Point Processes, Time Series
Nonparametric and High-Dimensional Statistics, Uncertainty Quantification, Variational Inference
Student Mentees:
Email: junming.yin.work[at]gmail[dot]com
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