About

I am a Ph.D. student in Statistics at Columbia University, advised by David Blei. Before that, I received a B.S. in Mathematics and Statistics from Rice University, where I worked with Daniel Kowal.

I develop methods and theory for probabilistic inference at scale. See my papers. Recent themes include:

  • Scaling and generalizing empirical Bayes
  • Approximate posterior sampling via optimal transport
  • Learning causality from heterogeneous data
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