Hantao Yu (余晗涛)
Office: Mudd 416, New York, NY, 10027
Email: hantao dot yu at columbia dot edu
I am a first-year Computer Science Ph.D student in the Theory Group at Columbia. I am fortunate to be co-advised by Josh Alman and Alex Andoni.
I graduated from UC San Diego in June 2022 with a B.S. in Mathematics and a minor in Computer Science. My advisors were Kiran Kedlaya and Chris Umans. I also worked with Max Hopkins.
I am interested in Algorithms, Complexity Theory, and Theoretical Machine Learning. Recently I am working on problems related to fast matrix multiplication, fine-grained complexity and graph algorithms.
TA for COMS 4232 (Advanced Algorithms), Spring 2023
Mentor for Undergrad TCS Learning Seminar, Fall 2022
TA for MATH 20B (Calculus II), Fall 2020
TA for MATH 15A (Introduction to Discrete Mathematics), Winter 2020