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.

LinkedIn / Google Scholar / CV

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

• Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification (with Robin Dunn and Aaditya Ramdas), 2025. (arxiv)

Publications

• Scalable causal structure learning via amortized conditional independence testing (with Brian Manzo, Aaditya Ramdas, and Wesley Tansey). In Proceedings of the 4th Conference on Causal Learning and Reasoning (CLeaR), 2025 (Oral Talk). (proc) (arxiv) (slides) (poster) (code)

• Rejoinder to Discussion of ‘Data fission: splitting a single data point’ (with Boyan Duan, Larry Wasserman, and Aaditya Ramdas). Journal of the American Statistical Association, 2024. (paper)

• Graph fission and cross-validation (with Aaditya Ramdas). In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024. (proc) (arxiv) (poster)

• Data fission: splitting a single data point (with Boyan Duan, Larry Wasserman, and Aaditya Ramdas). Journal of the American Statistical Association, 2023. (Discussion Paper) (paper) (arxiv) (poster) (slides) (talk) (code)