I am a third year Ph.D student in the Statistics and Data Science Department at Carnegie Mellon University working with Aaditya Ramdas on problems in selective inference and multiple testing.

Education

• Ph.D in Statistics, Carnegie Mellon University, 2026 (expected)
• M.S. in Statistics, University of Chicago, 2021
• B.A. in Mathematics and Economics, University of Chicago, 2013

Preprints

• Scalable causal structure learning via amortized conditional independence testing (with Brian Manzo, Aaditya Ramdas, and Wesley Tansey) (arxiv) (code)

Publications

• Graph fission and cross-validation (with Aaditya Ramdas) (arxiv)
  • Accepted at AISTATS, 2024.
• Data fission: splitting a single data point (with Boyan Duan, Larry Wasserman, and Aaditya Ramdas) (paper) (arxiv) (poster) (slides) (talk) (code)
  • Journal of the American Statistical Association, 2023.