CITP Seminar: Amy Winecoff - Today’s Machine Learning Needs Yesterday’s Social Science
Amy Winecoff is a DataX data scientist at CITP. Her primary interests are in human-algorithm interactions and fairness in machine learning systems. Winecoff received her Ph.D. in psychology and neuroscience from Duke University. After graduate school, she was an assistant professor at Bard College, where she taught neuroscience, abnormal psychology, and research methods. After leaving academia, she conducted research and developed machine learning models for government agencies such as DARPA and the U.S. Air Force to explain and predict human behavior. As a senior data scientist at True Fit and Chewy, she developed product recommendation and search systems. She also conducted quantitative user research to assess how users’ psychology informs their evaluation of algorithmic predictions. Winecoff is passionate about diversity and inclusion in the technology industry.
This seminar is co-sponsored by the Center for Statistics and Machine Learning.