Neel Guha

Neel Guha 

Neel Guha
PhD Candidate, Department of Computer Science, Stanford University
JD Candidate, Stanford Law School
CV / Google Scholar
Email: nguha [at] cs (dot) stanford (dot) edu

About me

I'm a second year JD-PhD student in Computer Science at Stanford University (advised by Chris Ré). I'm also a Graduate Student Fellow at the RegLab. I graduated with a MS in Machine Learning from Carnegie Mellon University ('19) and a BSH in Computer Science from Stanford University ('18).

My CS interests center on machine learning techniques that better incorporate structured forms of reasoning. My legal interests focus on the intersection of machine learning and law, especially as it relates to legal tech, safety, and privacy.

I currently serve as the Senior Articles Editor for Volume 75 of the Stanford Law Review. You can find more information regarding articles submissions on our website. Please direct all inquiries regarding the articles submission process to articles@stanfordlawreview.org.

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Outside of school, I've spent time at Google, Laserlike, the Federal Communications Commission, and Harvard's Institute for Quantative Social Science.