Vashisth Tiwari

PhD @CarnegieMellon | Previously: SR @Google Research

prof_pic_2.jpg

Hello! I’m a first-year PhD student at Carnegie Mellon University’s Language Technologies Institute, advised by Prof. Emma Strubell and Prof. Zico Kolter. I completed my Masters at CMU and a B.S. in Physics and Mathematics at the University of Rochester.

Summer 2025: Seattle — Google Research — Student Researcher with Dr. Giulia DeSalvo (synthetic data + RL).

My research focuses on making better and more efficient smaller models through improvements to both training and data. I’m particularly interested in distillation, synthetic data generation, and reinforcement learning for post-training.

I’ve had the pleasure of learning from and working with Prof. Beidi Chen (efficient inference), Lucio Dery and Clara Na (synthetic data).

Please feel free to reach out if you’d like to chat about research, potential collaborations, or just want to say hi.


Outside of work, I love photography—check out my portfolio and Instagram. I spent much of my life playing badminton, including on the team at the University of Rochester, and now I'm playing tennis.

I love food and coffee, perhaps a bit too much. I'm always on the lookout for new spots—so if you have recommendations, send them my way :).

news

Aug 25, 2025 TA-ing Inference Algorithms for LLMs with Prof. Graham Neubig and Amanda Bertsch
May 19, 2025 Student Researcher @GoogleResearch (📍Seattle) w/ Giulia DeSalvo on synthetic data for post-training
May 15, 2025 ACL Main (Energy considerations on LLM inference)
Apr 14, 2025 Will be joining CMU-LTI PhD Fall’25 cohort
Apr 13, 2025 Oral Spotlight @LTI Symposium` · (Energy Considerations of LLM Inference)
Jan 23, 2025 ICLR'25 (MagicDec)
Aug 19, 2024 Released MagicDec: Breaking Throughput-Latency Trade-off for Long Context Generation with Speculative Decoding. Blog
Aug 15, 2024 TAing Advanced NLP (11-711) with Prof. Graham Neubig
Jul 15, 2024 Started working in Prof. Emma Strubell’s Lab