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. In Fall 2021, I am participating in the Simons Institute workshop on Geometric Methods in Optimization and Sampling.

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.

Research

Publications

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)

Contact

You can email me at schewi@mit.edu.


216 (Simons Institute)

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