Siddartha Devic

devic [at] usc.edu

Computer Science Department
University of Southern California

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I’m Sid, a CS PhD student in the USC Theory Group, where I am fortunate to be advised by the wonderful Vatsal Sharan and Aleksandra Korolova. I am currently interested in machine learning theory and algorithmic fairness. I am grateful to have my research supported by a National Defense Science and Engineering Graduate (NDSEG) Fellowship.

Here is my CV (Sept. 2022).

I completed my undergraduate degrees in math and CS at The University of Texas at Dallas (UTD), where I explored research in networking, theory, optimization, and reinforcement learning. Along the way, I was extremely fortunate to be advised by these amazing professors: Nick Ruozzi, Jason Jue, Brendan Juba, and Ben Raichel.


(* indicates equal contribution / alphabetical order)


Student activities and service

The first year of my PhD, I served as a CS department senator within the USC Viterbi Graduate Student Association (VGSA), where I was able to bring goats to campus (amongst other things).

I served as President / VP for my undergrad’s ACM chapter, where I am most proud to have established a perpetual $30k endowed scholarship with club funds. Importantly, the scholarship may also grant eligible students an in-state tuition waiver! Students can apply here.

I also served as the undergrad representative on the UTD CS department head search committee during the 2020-2021 academic year.

If you are a UTD student interested in pursuing a PhD, you may find the grad school section I wrote of this guide helpful. Also check out this research internship / REU masterlist which I put together. You are welcome to reach out to me anytime for more info and/or if you’d like me to review your GRFP or NDSEG applications!


In my free time, I enjoy learning art, running, climbing/bouldering and hiking, calisthenics progressions, playing classical piano, swimming, skiing (when I can!), and binging npr tiny desk concerts.

Some other stuff from undergrad:

Be kind whenever possible. It is always possible.

-Dalai Lama