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

Education

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

Publications

• Scalable causal structure learning via amortized conditional independence testing (with Brian Manzo, Aaditya Ramdas, and Wesley Tansey) (arxiv) (slides) (poster) (code)
  • In Proceedings of the 4th Conference on Causal Learning and Reasoning (CLeaR), 2025 (Oral Talk)
• Rejoinder to Discussion of ‘Data fission: splitting a single data point’ (with Boyan Duan, Larry Wasserman, and Aaditya Ramdas) (paper)
  • Journal of the American Statistical Association, 2024.
• Graph fission and cross-validation (with Aaditya Ramdas) (proc) (arxiv) (poster)
  • In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (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. (Discussion Paper)