I am a first-year PhD student in the statistics department at the University of California, Berkeley. My current research has a number of directions: causal inference and optimal transport, estimation of dynamical systems from data (under Giles Hooker), and developing statistical methodology for scRNA-seq data (under Elizabeth Purdom). I am also interested in signal processing and applications of statistics to music technology.

Before Berkeley, I studied at MIT and graduated with a bachelor’s in mathematics with computer science and a minor in literature. There I had the great fortune to research with Philippe Rigollet and Florian Gunsilius. Our paper introducing an optimal transport-based causal inference metholodology can be found on arXiv. I also learned tremendously from research experiences in Beth Israel Deaconess Medical Center’s Division of Digital Psychitary and MIT’s System Architecture Group.

  • Causal Inference
  • Dynamical Systems
  • Methodology in Genetics
  • Optimal Transport
  • Signal Processing
  • PhD in Statistics, August 2021 - Present

    University of California, Berkeley

  • SB in Mathematics with Computer Science, Minor in Literature, 2021

    Massachusetts Institute of Technology


(2021). An Optimal Transport Approach to Causal Inference. On arXiv.

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