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I am a Computer Science PhD Candidate at Princeton University, where I am adviced by professor Tom Griffiths. I graduated from Columbia University with M.S. in Data Science and B.A. with Statistics and Applied Math majors. I was advised by professor David Blei during masters, and by professor Itsik Pe'er and professor Andrew Gelman during undergrad. I work on Bayesian Deep Learning with applications to Large Language Models. I use probabilistic models to understand and to distill knowledge into deep learning models, and develop scalable and effective approximate inference methods for probabilistic models. My works can be found on Google Scholar . |