I am a fifth year CS PhD student in the Theory Group at Berkeley, where I am lucky to be advised by Satish Rao. I am funded by an NSF GRFP Fellowship.
For the summer of 2021, I had a fantastic experience interning with the Mathematics of AI group at IBM, mentored by Ken Clarkson. Previously, I was an engineer at Two Sigma Investments from August 2016 to August 2017. I received my BA in Mathematics from Princeton in June 2016, where I had the good fortune to work with Maria Chudnovsky.
At Berkeley, I work on problems related to spectral graph theory, convex geometry, high-dimensional expanders, and approximate sampling. During my internship, I explored sketching algorithms for neural network compression.
Office: 643 Soda Hall
*Authors are listed in alphabetical order; this is convention for theoretical computer science and math.
At Berkeley, I was the instructor of CS 70 (Discrete Math and Probability) during Summer 2019. I was also a GSI for CS 70 Fall 2018, and received an Outstanding GSI award.
At Princeton, I was a TA for Introductory Number Theory (MAT 214), Introductory Real Analysis (MAT 215), Group Theory (MAT 345), and Graph Theory (MAT 375).
I am very passionate about STEM outreach, especially getting younger students excited about math. Moving forward, I seek opportunities to promote diversity in these fields.
At Berkeley, I was involved with the Berkeley Mathematics Directed Reading Program in Spring 2018 and Spring 2019, Bay Area Graduate Pathways to STEM, and Splash at Berkeley.
At Princeton, I directed Princeton Splash and helped organize the Princeton University Mathematics Competition. During the summer of 2013, I was also a counselor at both the Ross Mathematics Program and the AwesomeMath Summer Program.