Hantao Yu (余晗涛)
PhD candidate @ Columbia CS
Email: hantao dot yu at columbia dot edu
[Google Scholar] [CV] [Twitter/X]
Hantao Yu (余晗涛)
PhD candidate @ Columbia CS
Email: hantao dot yu at columbia dot edu
[Google Scholar] [CV] [Twitter/X]
I am on 2026-2027 industry job market (research scientist, MTS), looking to start March-May 2027!
Hello, welcome to my homepage! I am a 5th year (Fall 2022 - present) Computer Science Ph.D. candidate at Columbia, where I am affiliated with Columbia Core AI Lab. My advisors are Josh Alman and Alexandr Andoni. I graduated from UC San Diego in June 2022 with a B.S. in Mathematics and a minor in Computer Science. During undergrad I worked with Chris Umans and Max Hopkins.
Research interests
Most recently I have been working on post-training for LLMs (RL, OPD, SFT) and various downstream applications including autoformalization, reasoning and agents.
I have worked on algorithm design, fine-grained complexity theory, LLM expressivity.
Pipeline Math Project: Before GPT 5.6 came out, we built an agentic pipeline that solves Erdős problem 477/1038, a few COLT open problems and a few commutative algebra open problems from Cahen–Fontana–Frisch–Glaz! Check out Pipeline Math for details!
Industry Experiences
(Nov 2026 to present) Student Researcher at Google Platform and Devices team, hosted by Shiyu Zhang. Working on distillation for AI smartglasses🥸.
(June 2026 to Sep 2026) Applied scientist intern at amazon Automated Reasoning group. Worked with Udaya Ghai and Sandy Han on On-Policy Context Distillation in NeuroSymbolic AI and autoformalization.
(Feb 2025 to Aug 2026) Student researcher at Google Algorithms and Optimization group in spring/summer 2026, hosted by Clayton Sanford and Jean Pouget-Abadie. Worked on cross-tokenizer distillation.