KEERTANA CHIDAMBARAM

vck [at] stanford [dot] edu    •    GitHub    •    Google Scholar

I am a third-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.

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


Keertana Chidambaram, Karthik Vinay Seetharaman, Vasilis Syrgkanis
Workshop on Language Models for Underserved Communities, NAACL (Oral), 2025
[PDF]

Personalized Adaptation via In-Context Preference Learning


Allison Lau, Younwoo (Ethan) Choi*, Vahid Balazadeh*, Keertana Chidambaram*, Rahul G Krishnan, Vasilis Syrgkanis
Workshop on Adaptive Foundation Models, NeurIPS, 2024
[PDF]

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity


Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul G Krishnan, Vasilis Syrgkanis
NeurIPS, 2024
[PDF]





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