Neel Somani teaching a class

Neel Somani

University of California, Berkeley | Class of 2019
B.A. Mathematics | B.A. Computer Science | B.S. Business Administration

Bio

Neel Somani is a machine learning researcher working on formal methods for neural systems and neural methods for formal reasoning, with broader interests in interpretability and large-scale computation. He graduated from UC Berkeley with a triple major in Mathematics, Computer Science, and Business Administration. His research has been recognized at top conferences such as USENIX Security and OOPSLA, where Duet received the ACM SIGPLAN Distinguished Paper Award.

Neel's work spans two long-running threads: formal methods, which his current research continues; and large-scale and distributed computation, spanning distributed ML at RISELab (2018–2019), grid optimization at Citadel (2020–2022), and verifiable execution at Eclipse Labs (2022–2025). He supports education through a personal scholarship program and has been recognized as an Accel Scholar, Phi Beta Kappa, and Harmonic Rising Mathematician Award recipient.

Research

Research Interests: Formal methods and verification. LLM interpretability. LLM-driven proof search and autoformalization. Large-scale and distributed computation.
Past: Privacy-preserving ML and applied cryptography.

Current Research

Publications & Preprints

Selected Honors and Awards

Teaching & Presentations

Teaching

Selected Industry Talks

YouTube Explainers

Professional Activities

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