I'm a third year computer science PhD student at Cornell. I generally work in theory, especially questions around fairness in machine learning, and strategic behavior under uncertainty. I'm extremely fortunate to be advised by Jon Kleinberg.
Previously, I have been a data scientist working at Booz Allen Hamilton as well as a researcher in evolutionary game theory at the Program of Evolutionary Dynamics at Harvard. My undergraduate degree was at Harvard, a major in pure math with a minor in statistics.
My real world interests include hiking in gorges, baking desserts with friends, and reading.
My CV is available here. My pronouns are she/her/hers.
Publications and Honors
I am extremely grateful to be supported by an NSF Graduate Research Fellowship.
"Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness".
Kate Donahue and Solon Barocas, 2020. NeurIPS Workshop on Consequential Decision Making in Dynamic Environments, contributed talk. Accepted at FAccT 2021.
Kate Donahue, Oliver P. Hauser, Martin A. Nowak, Christian Hilbe. Published in Nature Communications, August 2020.
Thesis by Kate Donahue, 2016. My thesis received a Hoopes Prize given for “excellence in undergraduate research”. My undergraduate work in general earned the Herb Alexander Award for “outstanding undergraduate” in mathematics.
Robert D. Reasenberg, Kathleen P. Donahue, James D. Phillips, 2013. Classical Quantum Gravity
Please email me at kdonahue [at] cs [dot] cornell [dot] edu.
Photo by Greg Yauney