Computer Science, Georgia Tech

Ijay Narang

I am a second-year graduate student in Computer Science at Georgia Tech, where I am advised by Dr. Will Perkins. I am interested in: Applied Probability, Statistical Physics, and Machine Learning.

I completed my undergraduate studies at Princeton University, where I majored in Computer Science and minored in Applied Mathematics, Optimization, and Finance. During this time, I was fortunate to be advised by Dr. Pedro Paredes and Dr. Noga Alon.

inarang3@gatech.edu ijay.narang@gmail.com Google Scholar

If you are a motivated undergraduate student interested in working with me on research, please feel free to reach out by email.

Research

Selected Work

In submission to SODA 2026

Structural Corrections to the Bethe Approximation of the Permanent

with Will Perkins

View paper

Preprint 2026

The Hard-Core Model on Bipartite Spectral Expanders: Counting and Sampling at All Fugacities

with Will Perkins

View paper

In submission to SODA 2026

Schrijver Number Quasi-Tensorization and Multicolor Ramsey Bounds via Robust OR Polynomials

with Yukai Tang

View paper

ICML 2026

Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds

with Zedong Wang, Yuyang Wang, Felix Wang, Yuzhou Wang, and Siva Theja Maguluri

View paper

See all publications

Talks

Duke University Math Conference, Talk titled: Expanding Square Complexes from Graph Products Details

Projects

Compass: all-in-one Princeton University course planning app -- now reached 700+ users! The application is currently being maintained by Hoagie Club and renamed to HoagiePlan. See the App Here