I am a third-year PhD student in the statistics department at the University of California, Berkeley. My thesis advisor is Elizabeth Purdom, and I also work with Giles Hooker. My current research includes estimation of higher-dimensional probability densities and inference of stable dynamical systems from data. I am additionally interested in causal inference, as well as 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. 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 for Genomic Data
  • 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


(2023). Visualizing scRNA-Seq Data at Population Scale with GloScope. On bioRxiv.

PDF Cite

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

PDF Cite