01 About
Hello! I am a PhD student in MIT LIDS, co-advised by Professors Marzyeh Ghassemi and Collin Stultz. Prior to my PhD, I received my B.S.E. from Princeton University in 2023, where my senior thesis was supervised by the incredible Professor Christiane Fellbaum.
My research focuses on reliable and controllable machine learning with the goal of building models that behave predictably across diverse conditions. In particular, I find value in working on high-stakes domains like healthcare. I also enjoy drawing on tools from optimization, probability, and statistics in my work.
Outside of research, I love to read and have recently gotten into birding.
You can reach me at abinitha@mit.edu — I'd love to hear from you!!
02 Publications
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Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMsAbinitha Gourabathina, Inkit Padhi, Manish Nagireddy, Subhajit Chaudhury, and Prasanna Sattigeri. ACL Main 2026 (Oral).
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Robustness Beyond Known Groups with Low-rank AdaptationAbinitha Gourabathina, Hyewon Jeong, Teya Bergamaschi, Marzyeh Ghassemi, and Collin Stultz. Preprint, 2026.
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The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision MakingAbinitha Gourabathina, Yuexing Hao, Walter Gerych, and Marzyeh Ghassemi. Preprint, 2025.
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The Medium is the Message: How Non-Clinical Information Shapes Clinical Decisions in LLMsAbinitha Gourabathina, Walter Gerych, Eileen Pan, and Marzyeh Ghassemi. FAccT 2025 (Oral).
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PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic ModelAbinitha Gourabathina, Zhiyu Wan, J. Thomas Brown, Chao Yan, and Bradley A. Malin. IEEE Transactions on NanoBioscience, 2023.
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PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic ModelAbinitha Gourabathina, Zhiyu Wan, J. Thomas Brown, Chao Yan, and Bradley A. Malin. IEEE BIBM 2022.
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What seems to be the problem? Stigmatizing language in patient medical notesAbinitha Gourabathina. Princeton University Senior Thesis, 2023.