Sinho Chewi's Website

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I am an Applied Mathematics PhD candidate at the Massachusetts Institute of Technology (MIT). My advisor is Philippe Rigollet. I received my B.S. in Engineering Mathematics and Statistics from University of California, Berkeley in 2018.

Notes

Here is a collection of notes that I have written. Click here to find the notes I took as an undergraduate at UC Berkeley. If you would like the source code for my notes, click here.

18.1521

Introduction to Partial Differential Equations

18.176

Stochastic Calculus

COMPSCI 229R

Topics in Theoretical Computer Science: Interactions between Physics and Computation

Other

Research

Publications

  • A combinatorial proof of a formula of Biane and Chapuy. Sinho Chewi and Venkat Anantharam. March 2018. [arXiv] [E-JC]

    • Teaching

    Here is a list of courses that I have taught in the past.


      Summer 2018
      Computer Science 70 – Discrete Mathematics & Probability Theory [co-taught with Vrettos Moulos]

    I have also been a TA for these courses.


      Spring 2016
      Computer Science 70 – Discrete Mathematics & Probability Theory (Satish Rao, Jean Walrand)
      Fall 2016
      Computer Science 70 – Discrete Mathematics & Probability Theory (Sanjit Seshia, Jean Walrand)
      Summer 2017
      Computer Science 70 – Discrete Mathematics & Probability Theory (Hongling Lu, Vrettos Moulos, Allen Tang)

    In January 2019, I led a Directed Reading Program (DRP).

    In 2016-2017, I won the EECS Outstanding GSI/Distinguished GSI Award.

    Contact

    You can email me at schewi@mit.edu.


    2-390D (Mathematics)
    E17/E18-476E (IDSS)

    [Google Scholar] [LinkedIn] [ORCID]