Parth Nobel

PhD Candidate, Electrical Engineering, Stanford University
Visiting Scholar, Electrical Engineering and Computer Science, UC Berkeley

Bio

I am a PhD candidate at Stanford University working with Professors Stephen Boyd and Emmanuel Candès on optimization and its applications in statistics. I am supported by the National Science Foundation Graduate Research Fellowship Program (NSF GRFP). In Winter 2023, I was the Head TA for EE364a/CME364a, Stanford’s 230 student graduate convex optimization class.

During the summer of 2022 and part-time since, I am a Visiting Scholar at UC Berkeley working with Riley Murray, Professor Michael Mahoney, and Professor Jim Demmel on randomized numerical linear algebra as part of the BALLISTIC Project.

Prior to attending Stanford, I was a Regents’ and Chancellor’s Scholar at UC Berkeley where I earned a Bachelors of Science in Electrical Engineering and Computer Science (EECS). I worked with Professor Jaijeet Roychowdhury on system theory and numerical methods. In Spring 2021, I was the sole TA for EECS219A, Berkeley’s graduate numerical simulation and modeling class.

Papers

Miscellaneous Other Writings

I occasionally did significant writing for the UC Berkeley Model UN. That work is provided below:

I also have written quick-reference theorem lists for a couple classes at Berkeley. Other people have told me they’re useful. I make no guarantees about the absence or presence of typos.