Virginia Smith is an assistant professor in the Machine Learning Department at Carnegie Mellon University, and an affiliated faculty member in the Department of Electrical and Computer Engineering. Her research interests include machine learning, optimization, and distributed systems. Prior to CMU, Virginia received a Ph.D. from UC Berkeley and undergraduate degrees from the University of Virginia.
2017 MS, Computer Science, University of California, Berkeley
2017 Ph.D., Computer Science, University of California, Berkeley
2012 BA, Computer Science, University of Virginia
2012 BA, Mathematics, University of Virginia
Six things you should know about AI from experts in the field
Researchers from Carnegie Mellon University’s College of Engineering share what they have learned about artificial intelligence while working in the field.