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I am from Kunming, a cozy city in southwest China. I received my PhD in Statistics at The University of Texas at Austin. I was fortunately to be advised by Prof. Mingyuan Zhou. Before coming to UT, I spent four years as undergraduate in the School of Mathematical Sciences at Fudan University.

I will join the Data Science Institute at Columbia University as a post-doctoral fellow, mentored by Prof. David Blei and Prof. Simon Tavaré.

I am broadly interested in Bayesian statistics and machine learning. My thesis has focused on the variational methods with dependence structures, by designing fast and accurate algorithms, and analyzing their theoretical properties. My research interests are:

  • Approximate Bayesian inference
  • Causal inference
  • Information theory, asymptotics
  • Meta-learning and domain adaptation
  • Cancer research