Dr Virginia Smith is an assistant professor in the Machine Learning Department at Carnegie Mellon University, and a courtesy faculty member in the Electrical and Computer Engineering Department. Her research interests are in machine learning, optimization, and distributed systems. Recent topics include: large-scale machine learning, distributed optimization, federated and on-device learning, multi-task learning, and meta-learning.
Prior to CMU, she was a postdoc with Chris Ré at Stanford University. She received my PhD at UC Berkeley, where she worked with Michael I. Jordan and David Culler as a member of the AMPLab.