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Vatsal Baherwani Hello, welcome to my website! About MeI am a PhD student at New York University, advised by Pavel Izmailov and Andrew Gordon Wilson. I am grateful to be supported by the NSF Graduate Research Fellowship. I previously graduated with a bachelor's degree from the University of Maryland, where I was fortunate to work with Pete Kyle (who first introduced me to academic research), Abhinav Shrivastava, Ashwinee Panda, and Tom Goldstein. This summer I will be at Q Labs as a research intern in San Francisco. In summer 2025, I was a visiting researcher at the Center for Human-Compatible AI working with Raj Movva and Emma Pierson on practical applications for ML interpretability. Check out my blog to learn more about me. |
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Publications |
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DynaGuard: A Dynamic Guardrail Model With User-Defined Policies
Monte Hoover, Vatsal Baherwani, Neel Jain, Khalid Saifullah, Joseph Vincent, Chirag Jain, Melissa Kazemi Rad, C. Bayan Bruss, Ashwinee Panda, Tom Goldstein In Submission We develop a guardian model that can dynamically adapt to ensure an LLM complies with arbitrary user-specified rules. |
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Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts
Ashwinee Panda*, Vatsal Baherwani*, Zain Sarwar, Benjamin Therien, Supriyo Chakraborty, Tom Goldstein NeurIPS 2025 We approximate the dense backward pass of a sparse mixture-of-experts model, leading to improved training stability and performance with negligible overhead. |