Resume
Academic Achievements
- AWS Credit Grants – Cornell’s Center for Data Science for Enterprise and Society
- Finalist, 2023 INFORMS DMDA Workshop Best Paper Competition – Theoretical Track
- Winner, 2021 INFORMS Pierskalla Best Paper Award
- Winner, 2021 CHOW Best Student Paper in OR/MS
- Finalist, 2019 INFORMS IBM Service Science Best Student Paper Award
- Tata Consultancy Services Fellowship, Tepper School of Business, CMU, 2020
- Ann Kirsten Pokora Prize, Department of Mathematics, Smith College, 2017
Background
- Assistant Professor in the School of Operations Research and Information Engineering and Cornell Tech at Cornell University
- Field member of ORIE, Center for Applied Mathematics (CAM), Statistics, ECE, and CS
- Affiliated with WCM Institute of AI for Digital Health
- Aims to develop a robust, end-to-end framework for evidence-based personalized healthcare strategies that are statistically sound and practically feasible
- Research emphasizes rigor, practical feasibility, efficiency, and interpretability
- Motivated by high-stakes decision-making, limited sample sizes, and minimal yet defensible statistical assumptions in healthcare
- Research includes causal discovery from observational data, design of adaptive clinical trials (e.g., MRTs, N-of-1), and robust inference methods for non-adaptive, adaptive, and federated data
- Translates research into practice through collaborations with clinicians on heart failure care, interpretable clinical LLMs, and diffusion models for single-cell genomics