I’m a 5th year PhD candidate in the CS Theory group at the University of Colorado, Boulder. I’m co-advised by Dr. Bo Waggoner and Dr. Rafael Frongillo.

I am broadly interested in theoretical computer science, particularly algorithmic game theory and mechanism design. I’m currently interested in thinking about the value of information and designing algorithms with costly information discovery. I’m especially interested in socially impactful algorithms and fairness in mechanism design.

I helped found the CU Algorithmic Fairness Reading Group, and wrote a guide to organizing a reading group.

News

My paper Sample Complexity of Peer Prediction. with Abdellah Aznag, Rachel Cummings, Jason Hartline, Matthew vonAllmen, and Bo Waggoner was accepted to EC’26!

My paper Combinatorial Markov Search with Elias Lindgren and Bo Waggoner was accepted to STOC’26!

My paper Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More with Marius Garbea, Manolis Pountourakis, and Sam Taggart was accepted to FOCS’25!

Publications

Sample Complexity of Peer Prediction (EC'26, Forthcoming)

Abdellah Aznag, Robin Bowers, Rachel Cummings, Jason Hartline, Matthew vonAllmen, Bo Waggoner.

Combinatorial Markov Search (STOC'26)

Robin Bowers, Elias Lindgren, Bo Waggoner.

Polynomial-Time Approximation Schemes via Utility Alignment: Unit-Demand Pricing and More (FOCS'25)

Robin Bowers, Marius Garbea, Emmanouil Pountourakis, Samuel Taggart.

Matching with Nested and Bundled Pandora Boxes (WINE '24)

Robin Bowers, Bo Waggoner.

High Welfare Matching Markets via Descending Price (WINE '23)

Robin Bowers, Bo Waggoner.

Loom Pedals: Retooling Jacquard Weaving for Improvisational Design Workflows (TEI '24)

Shanel Wu, Xavier A Corr, Xi Gao, Sasha De Koninck, Robin Bowers, Laura Devendorf.

Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications (IJCNN '20)

S. Spillane, K. H. Jung, Bowers, T. Peken, M. H. Marefat and T. Bose.