Rachel Cummings is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University. She specializes in the fields of Artificial Intelligence, Machine Learning, and their applications in various domains including economics, computation, and game theory. Her research interests encompass Human-Computer Interaction, Trustworthy Computing, Data Analytics, Decision Analysis, and Optimization. She has an extensive background in algorithmic fairness and business analytics. Cummings' work is recognized by numerous awards, including the Google NYC Cyber Award and the DARPA Director's Fellowship. Additionally, she is a fellow at the Center for Democracy and Technology, and she actively contributes to multiple professional organizations such as the Association for Computing Machinery (ACM) and the Institute for Operations Research and the Management Sciences (INFORMS). Her commitment to innovation in teaching and course design has earned her multiple accolades, establishing her as a leader in both research and education in the engineering field.
Columbia University • New York, NY
Teaching and conducting research in Industrial Engineering and Operations Research.
Columbia University • New York, NY
Conducted research and taught courses in Industrial Engineering and Operations Research.
Georgia Institute of Technology • Atlanta, GA
Engaged in research and education in the School of Industrial and Systems Engineering.