Bio
I am a mathematician mainly interested in the intersection of computer science and statistics. When I was in grad school at Stanford, I spent most of my time studying combinatorics/discrete mathematics and theoretical computer science, thinking about randomized algorithms, optimization problems, and probability theory. I am fortunate to have been advised by Jan Vondrák during my time there. I have also dipped my toes into algebraic topology and algebraic geometry, mainly during my time in undergrad at MIT.
These days, I have shifted my attention to applied disciplines in the finance and tech industries. Shortly after graduating, I started my job at D.E. Shaw as a Quant.
Education
- M.S. in Mathematics and Computer Science, Stanford University, 2019-2022
- B.S. in Mathematics, Massachusetts Institute of Technology, 2015-2019
Work Experience
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Quantitative Analyst and Software Developer, D.E. Shaw & Co., April 2023 — Present.
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Software Engineer Intern, Google, Autumn 2022.
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Software Engineer and Machine Learning Intern, Instagram (Meta), Summer 2022.
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Full Stack Software Engineer Intern, Verkada, Spring 2022.
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Quantitative Trading Intern, Jane Street, Summer 2021.
