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.

Contact

Email: (firstname)_(lastname)@berkeley.edu Office: 643 Soda Hall

Inclusion of Forbidden Minors in Random Representable Matroids[arXiv] Jason Altschuler, Elizabeth Yang.* Discrete Mathematics, 2017.

Competition Graphs Induced by Permutations[arXiv] Brian Nakamura, Elizabeth Yang* Preprint, 2015. Presented at the 2015 Joint Mathematics Meetings.

*Authors are listed in alphabetical order; this is convention for theoretical computer science and math.

Teaching

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).

Outreach & Mentorship

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.