I'm a fourth year computer science PhD candidate 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.
During my PhD, I have interned at Amazon (with Krishnaram Kenthapadi and Alexandra Chouldechova) and at Microsoft Research (with Solon Barocas, in the NYC FATE group). 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 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
In Fall 2021, I've been selected as a "Rising Star in EECS" for MIT Rising Stars EECS 2021 workshop. My PhD research has been supported by an NSF Graduate Research Fellowship.
"Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness"
Kate Donahue and Jon Kleinberg, 2021. Preliminary version accepted (oral presentation) at Neurips workshop on Learning and Decision-making with Strategic Feedback.
Kate Donahue and Jon Kleinberg, 2021. Accepted at Neurips 2021.
Kate Donahue and Solon Barocas, 2021. 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