Dr. Rachel Cummings is an Associate Professor of Industrial Engineering and Operations Research at Columbia University.

She is also an Affiliate in the Department of Computer Science (by courtesy) and a Member of the Data Science Institute. Before joining Columbia, she was an Assistant Professor of Industrial and Systems Engineering and (by courtesy) Computer Science at the Georgia Institute of Technology.

Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and public policy. Her work has focused on problems such as strategic aspects of data generation, incentivizing truthful reporting of data, privacy-preserving algorithm design, impacts of privacy policy, and human decision-making. Learn more about Rachel here.

Hosting the event from the Arthur side will be Dr. John Dickerson, Arthur's co-founder and Chief Scientist.

John is also an Associate Professor of Computer Science at the University of Maryland. He works at the intersection of machine learning and economics, with a focus on designing incentives that promote "good" participation in complex systems.

His research centers on solving practical economic problems using techniques from computer science, stochastic optimization, and machine learning. He received his PhD in computer science from Carnegie Mellon University (SCS CSD PhD '16). Learn more about John here.