I am a PhD student in ORIE at Cornell Tech. I am interested in developing robust and scalable causal discovery algorithms, with applications to downstream causal inference and reinforcement learning. Currently, I am exploring the intersection of LLMs and causality as an applied scientist intern at Amazon Science in Tübingen, Germany. I am advised by Professor Kyra Gan.

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Works in Progress

From Guess to Graph: Causal Discovery Guided by Imperfect Experts
(with Philipp Faller, Patrick Blöbaum, Shiva Kasiviswanathan, Dominik Janzing, Elke Kirschbaum, Kyra Gan).

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Papers

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery.
Dominik Meier, Sujai Hiremath, Promit Ghosal, Kyra Gan.

LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery.
Sujai Hiremath, Promit Ghosal, Kyra Gan.

Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models.
Sujai Hiremath, Jacqueline Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan.

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Contact | CV | Google Scholar | LinkedIn