Kyra Gan
Scholar

Kyra Gan

Google Scholar ID: YodN8B4AAAAJ
Assistant Professor, Cornell Tech
applied approximation algorithmstatistical inferencecausal discovery
Citations & Impact
All-time
Citations
126
 
H-index
6
 
i10-index
3
 
Publications
20
 
Co-authors
0
 
Contact
Resume (English only)
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
Co-authors
0 total
Co-authors: 0 (list not available)