Parth Nobel

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Co-Founder and CTO, Optimal Intellect
Maintainer, CVXPY

Bio

I am a maintainer and Technical Steering Council member for CVXPY and CVXPYlayers.

I did my PhD at Stanford University with Professors Stephen Boyd and Emmanuel Candès. I was supported by the National Science Foundation Graduate Research Fellowship Program (NSF GRFP).

During my PhD, I interned at Amazon Supply Chain Optimization Technologies (SCOT) and Gridmatic. In undergrad, I interned at Apple working on embedded systems and scientific computing and at HP working on data infrastructure.

While at Stanford, I was the instructor for the summer offering of EE364a/CME364a, Stanford’s optimization course; as the instructor I revised the class content and lecture slides for the first time in over two decades. The new slides are available here. In other quarters, I was Head TA for EE364a/CME364a and Engr108, an introductory linear algebra course. As an undergrad, I was the sole TA for EECS219A, Berkeley’s graduate numerical simulation and modeling class.

For part of my PhD, I was 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.

Publications

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.