Tom Hayes

PhD

Tom Hayes.

Tom Hayes

PhD

Tom Hayes

PhD

Research Topics

Theoretical computer science and machine learning, including convergence rates for Markov chains, sampling algorithms for random combinatorial structures, physics of algorithms, and distributed algorithms for radio-enabled sensor networks

Biography Teaching Research

Courses

  • CSE 191—Introduction to Discrete Structures (Fall 2024, Fall 2023)
  • CSE 431—Algorithms Analysis and Design (Spring 2023, Fall 2022)
  • CSE 531—Analysis of Algorithms I (Spring 2023, Fall 2022)
  • CSE 701—Seminars (Spring 2024)