
About
Raaz Dwivedi is Assistant Professor in Operations Research and Information Engineering at Cornell University and Cornell Tech. His research develops statistical and computational methods for personalized decision-making, focusing on causal inference, reinforcement learning, and distribution compression.
Recent publications advance kernel thinning techniques, counterfactual inference methods, and adaptive nearest-neighbor algorithms with applications in healthcare and recommendation systems. Research appears in top venues with 15+ publications since 2022.
Awards and honors:
- Blackwell-Rosenbluth Award (2024)
- ASA Best Student Paper Award (2022)
- MIT LIDS Best Presentation Award
- Harvard Teaching Excellence Award
- FODSI Postdoctoral Fellowship
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