Kate Donahue

I'm a first year computer scientist PhD student at Cornell, interested in theoretical machine learning, fairness in machine learning, and game theory.

Previously, I have been a data scientist working at Booz Allen Hamilton's Boston office as well as a researcher in evolutionary game theory with with Oliver Hauser, Christian Hilbe, and Martin Nowak at the Program of Evolutionary Dynamics at Harvard.

My previous projects have included modeling the impact of climate change on streamflow data, clustering sparse data with autoencoders, synthetic data for transfer learning, Bayesian anomaly detection on social networks, and detailed simulations of resource flows in complex environments. My undergraduate degree was at Harvard, a major in pure math with a minor in statistics.

My real world interests include hiking, biking, reading, and building soccer-playing robots.