Vashisth Tiwari

Hi! 👋

I’m a PhD student at Carnegie Mellon University’s LTI, advised by Emma Strubell and Zico Kolter. Previously, I completed my master’s at CMU and a bachelor’s in Physics and Mathematics at the University of Rochester.

My research focuses on developing better, more efficient LLMs by improving training dynamics and data quality. I am particularly interested in knowledge distillation, synthetic data generation, and reinforcement learning for post-training.

I’ve been fortunate to learn from wonderful mentors: Oleksii and Adi at Nvidia (summer 2026), Giulia DeSalvo at DeepMind (summer 2025), and Beidi Chen, Lucio Dery, Clara Na at CMU.

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