| Guanghao Ye


Office: 2-340C

Email: ghye at mit.edu

I am a first second-year PhD student at MIT Math. I am very fortunate to be advised by Jon Kelner. Before that, I spent four wonderful years at the University of Washington and obtained my bachelor’s and master’s degrees there. At UW, I was advised by Yin Tat Lee and had the pleasure of working with Jerry Li.

I am broadly interested in theoretical computer science. In particular, I am interested in convex optimization and its applications.


Following conventions of math and theoretical computer science, author names are listed alphabetically.

    1. with Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, and Swati Padmanabhan
      Neural Information Processing Systems (NeurIPS), 2022 (oral presentation)
    2. with Sally Dong, Haotian Jiang, Yin Tat Lee, and Swati Padmanabhan
      Neural Information Processing Systems (NeurIPS), 2022
    3. with Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, and Sushant Sachdeva
      Symposium on Discrete Algorithms (SODA), 2022
    4. with Sally Dong, and Yin Tat Lee
      Symposium on Theory of Computing (STOC), 2021
      Invited to SICOMP Special Issue.
    5. with Jerry Li
      Neural Information Processing Systems (NeurIPS), 2020
    6. Undergraduate Thesis
      Best Senior Thesis Award Honorable Mention


    Teaching Assistant at UW:

    CSE421 Introduction to Algorithms: Spring 2018, Autumn 2018, Spring 2019, Winter 2020
    CSEP 521 Applied Algorithms: Winter 2019


    External Reviewers: STOC 2022, SODA 2023, AAAI 2023, AISTATS 2023