Allison Koenecke

Allison Koenecke is an assistant professor of information science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Her research on algorithmic fairness applies computational methods, such as machine learning and causal inference, to study societal inequities in domains from online services to public health.

Koenecke previously held a postdoctoral researcher role at Microsoft Research and received her Ph.D. from Stanford’s Institute for Computational and Mathematical Engineering. She is the recipient of several NSF grants and a Cornell CIS DEIB Faculty of the Year Award, and has been honored as a Sloan Fellow in Computer Science and a Forbes 30 Under 30 lister in Science.

Koenecke is regularly quoted as an expert on disparities in automated speech-to-text systems. She has been featured in prominent news outlets, including the New York Times, the Associated Press, the Atlantic, Forbes, Business Insider, Wired, and Scientific American. Her work has been published in venues including Nature, PNAS, NeurIPS, and FAccT.

Areas of Interest: Computational social science, algorithmic fairness, causal inference, public health