Vinod Raman

Vinod Raman

Research Scientist @ Google DeepMind

I'm a Research Scientist at Google DeepMind working on improving Gemini's fundamental capabilities for generative and agentic retrieval.

I completed my Ph.D. in Statistics at the University of Michigan in 2025, where I was fortunate to be advised by Ambuj Tewari. My Ph.D. was graciously supported by the 2022 National Science Foundation Graduate Research Fellowship (NSF GRFP) and the 2025 Apple Scholars in AI/ML PhD Fellowship. Prior to my Ph.D, I double-majored in Computer Science and Chemical Engineering and worked with Mahdi Cheraghchi, Sindhu Kutty, and Andrej Lenert.

My research interests lie in the Foundations of Machine Learning. During my Ph.D, I worked on various topics in learning theory, including online learning, adversarial robustness, differential privacy, and language generation. Nowadays, I work broadly in Post-training and Reinforcement Learning for large language models.

My younger brother is a classical trumpeter.

Post-training RL for LLMs Online Learning Differential Privacy Learning Theory
01

Selected Publications

02

In Submission

03

Preprints

04

All Publications

  • 23
    Design of thermophotovoltaics for tolerance of parasitic absorption with Tobias Burger, Andrej Lenert Optics Express, 2019
    PDF