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I am an Applied Mathematics PhD candidate at the Massachusetts Institute of Technology (MIT), advised by Philippe Rigollet. I received my B.S. in Engineering Mathematics and Statistics from University of California, Berkeley in 2018. In Fall 2021, I participated in the Simons Institute program on Geometric Methods in Optimization and Sampling and co-organized (with Kevin Tian) a working group on the complexity of sampling. In Spring 2022, I will be visiting Jonathan Niles-Weed at New York University (NYU).
Click here to find the notes I took during my undergraduate and graduate studies.
Here is a list of courses that I have taught in the past.
I have also been a TA for these courses.
I have led some Directed Reading Programs (DRP): 2019, 2020, 2021(A), 2021(B).
In 2016-2017, I won the EECS Outstanding GSI/Distinguished GSI Award.