Murali G. Sethuraman
About
I'm a Ph.D. candidate at Georgia Tech advised by Prof. Faramarz Fekri.
My research primarily focuses on Machine Learning, Probabilistic graphical models and Causal Discovery. In particular, I'm interested in understanding the feasibility of recovering cyclic causal graph structure from observational and interventional data under various real-world constraints (including unmeasured confounding, missing data, and measurement noise). Previously, I got my Masters from Georgia Tech and I did my undergraduate studies at National Institute of Technology, Trichy (NITT). During my Ph.D. I completed an internship at Genentech, where I had the pleasure of working with Jan-Christian Hütter.
Education
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PhD in Electrical and Computer Engineering, 2026 Georgia Institute of Technology -
MS in Electrical and Computer Engineering, 2020 Georgia Institute of Technology
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B.Tech in Electronics and Communication Engineering, 2018 National Institute of Technology, Trichy
News
- Apr 2026 Our TMLR paper on cyclic causal discovery under missing data is out! You can find the paper here, and the code here.
- Mar 2026 Our recent paper on causal discovery in the presence of missing data and cycles has been accepted to TMLR! Full paper coming soon.
- Dec 2025 Presented our work on causal discovery under hidden confounding at NeurIPS 2025 in San Diego, CA. Great learning experience and had a great time interacting with others in the Causality community. You can find the poster here.