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.

18.137

Topics in Geometric PDEs

18.1521

Introduction to Partial Differential Equations

18.158

Topics in Differential Equations

18.176

Stochastic Calculus

18.338

Eigenvalues of Random Matrices

18.966

Geometry of Manifolds II

COMPSCI 229R

Topics in Theoretical Computer Science: Interactions between Physics and Computation

Other

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)

I have led some Directed Reading Programs (DRP): 2019, 2020.

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)

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