About Me

I am a first year PhD student at the University of Chicago, where I am advised by Haifeng Xu. Previously, I attended the University of Southern California (USC) where I completed a BS in Computer Science. While at USC, I was a member of the USC Theory Group, where I was advised by Shaddin Dughmi and worked closely with Vatsal Sharan and David Kempe. Here is my CV.

My research interests lie in algorithm design for convex and combinatorial optimization and foundations of deep learning. Previously, I have worked on projects in contract design, where I used combinatorial optimization techniques with applications in economics.

I have also worked on projects in CS Education, where I designed a Python library that creates interactive visualizations of Dynamic Programs.

Publications

Computer Science Theory

On Supermodular Contracts and Dense Subgraphs
(α-β order) Ramiro Deo-Campo Vuong, Shaddin Dughmi, Neel Patel, and Aditya Prasad.
Symposium on Discrete Algorithms (SODA), 2024.
[arXiv] | [DOI]

Education

dpvis: A Visual and Interactive Learning Tool for Dynamic Programming
David H. Lee, Aditya Prasad, Ramiro Deo-Campo Vuong, Tianyu Wang, Eric Han, and David Kempe.
SIGCSE Technical Symposium (TS), 2025.
[arXiv]

Teaching Experience

  • Learning, Decisions, and Limits
    DATA 37200 @ UChicago, Teaching Assistant
    Winter 2025
  • Introduction to Algorithms and the Theory of Computing
    CSCI 270 @ USC, Course Producer
    Spring 2022, Fall 2022, Spring 2023, Spring 2024
  • Discrete Methods in Computer Science
    CSCI 170 @ USC, Course Producer
    Summer 2023

Contact

  • Email: adityaprasad [at] uchicago.edu