Robin Bowers

they/them

robin.bowers@colorado.edu — CV

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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.

I was privileged to complete my PhD in computer science in the CS Theory group at the University of Colorado Boulder. where I was co-advised by Dr. Bo Waggoner and Dr. Rafael Frongillo.

News

I am co-organizing a tutorial on Costly Information Models for Online Selection at EC’26 in Rome with Dimitris Christou!

I defended my dissertation Beyond Pandora’s Box: Algorithm and Mechanism Design with Costly Information Acquisition on June 30, 2026!

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!

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.