Anant Shyam

Anant Shyam

I am a second year Computer Science PhD student at Purdue University, where I am fortunate to work with Brian Bullins and Ruqi Zhang. My research focuses on efficient optimization and sampling algorithms for machine learning. I'm fortunate to be supported by the NSF ACCESS program for my project on low precision sampling algorithms for large scale training. Previously, I was an undergraduate at Cornell University, where I worked with Zhiru Zhang and Chris De Sa.

In my free time, I enjoy running, cooking, and lifting. Please feel free to reach out!

News

Papers

Bias-Reduced and Parallel Heavy-Tailed Stochastic Convex Optimization in ℓp Geometries
Zhengyun Nie*, Anant Shyam*, Brian Bullins
Under Review at STOC 2027
On the Limits of Biased Derivative Information for Nonconvex Stochastic Optimization
Anant Shyam, Brian Bullins
arXiv, 2026
* Denotes alphabetical order.

Industry Experience

Engineering Development Intern
MathWorks — Financial Modeling and Econometrics Team
May 2024 – August 2024
Software Engineer Intern
Cleo — Product Development Team
June 2023 – August 2023
Software Engineer Intern
Interactive Brokers — Risk Management Team
June 2022 – August 2022

Teaching

Purdue University

Cornell University

Service