vade shah
I’m a PhD student studying game theory and optimization at UC Santa Barbara, where I am advised by Jason Marden with the support of the NSF GRFP. Previously, I completed my BS in EECS at UC Berkeley.
My research interests are quite broad, but recently, I’ve been working on problems related to inventory control and two-sided matching markets. If you’d like to learn more, see my recent publications.
Send me an email if you’d like to get in touch!
news
| July 2025 | Two papers (“Trial-and-Error Learning in Decentralized Matching Markets” and “The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory Control”) were accepted to IEEE CDC 2025. See you in Rio! |
|---|---|
| May 2025 | Our paper titled “Trial-and-Error Learning in Decentralized Matching Markets” was accepted for presentation at the 2025 Game Theory Festival. See you in Stony Brook! |
| January 2025 | Our paper titled “Inefficient Alliance Formation in Coalitional Blotto Games” was accepted to IEEE ACC 2025 and for publication in L-CSS. See you in Denver! |
| November 2024 | I was selected as the recipient of the Alexander Glass Best Oral Presentation Award at SPIE Laser Damage 2024! |
| July 2024 | Our paper titled “Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences” was accepted to IEEE CDC 2024. See you in Milan! |