Hantao Yu (余晗涛)

Office: Mudd Building Room 416, New York, NY, 10027

Email: hantao dot yu at columbia dot edu

About

I am a Ph.D student in Computer Science at Columbia Theory Group starting from Fall 2022. 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. My advisor was Kiran Kedlaya, and my undergraduate thesis is Discrete Fourier Transform over Schurian Schemes.

Research Interests

I am interested in Algorithms (mostly with algebraic flavors) and Theoretical Machine Learning. Recently I am working on fast matrix multiplication and nearest neighbor search problems.

During undergrad, I was a member of UC San Diego Theory Group, where I worked with Max Hopkins on how to actively learn polynomial thresholds functions. I participated in the Caltech SURF in summer 2020, 2021 where I worked with Chris Umans on designing fast algorithms for Discrete Fourier Transform over algebraic objects.

Teaching

At Columbia

  • I am co-organizing the Undergrad TCS Learning Seminar at Columbia.

At UCSD

  • TA for MATH 20B (Calculus II), Fall 2020

  • TA for MATH 15A (Introduction to Discrete Mathematics), Winter 2020