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I am a fourth-year PhD student in Operations Research at the Department of Management Science and Engineering at Stanford University. I am a part of the Stanford Causal AI Lab where I am fortunate to be advised by Vasilis Syrgkanis. My research is generously supported by the William R. and Sara Hart Kimball Stanford Graduate Fellowship. I interned at Netflix Research in Summer 2025. Previously, I received my master’s degree in Computational Social Science (Economics track) from the University of Chicago and my bachelor’s degree in Mechanical Engineering from the Indian Institute of Technology Madras. |
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Research Papers*denotes equal contribution |
Direct Preference Optimization With Unobserved Preference Heterogeneity: The Necessity of Ternary PreferencesKeertana Chidambaram, Karthik Vinay Seetharaman, Vasilis Syrgkanis 🏆 Best Paper Runner-up & Oral @ LM4UC Workshop, NAACL , 2025 |
Personalized Adaptation via In-Context Preference LearningAllison Lau, Younwoo (Ethan) Choi*, Vahid Balazadeh*, Keertana Chidambaram*, Rahul G Krishnan, Vasilis Syrgkanis Workshop on Adaptive Foundation Models, NeurIPS, 2024 |
Sequential Decision Making with Expert Demonstrations under Unobserved HeterogeneityVahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul G Krishnan, Vasilis Syrgkanis NeurIPS, 2024 Workshop on AutoRL, ICML, 2024 |
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Design and source code from Jon Barron's website. Icon is from Flaticon . |