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Jean Anne Incorvia is an Associate Professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, where she directs the Integrated Nano Computing (INC) Lab. Her research focuses on developing future nanodevices using emerging physics materials. Her work spans several areas including spintronics, which utilizes magnetism to encode information in electronics, bio-inspired neuromorphic computing, in-memory computing devices and circuits, as well as 2D materials-based computing for critical applications in health, energy, and security. Incorvia holds a bachelor's degree in physics from the University of California, Berkeley, and a Ph.D. in physics from Harvard University, where she was cross-registered at MIT. After completing her doctoral studies in 2015, she undertook a postdoctoral fellowship at Stanford University. A recipient of numerous awards, including the National Science Foundation CAREER Award and the IEEE Magnetics Society Early Career Award, she has authored 80 articles and given approximately 80 invited talks throughout her career.
Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin • Austin, TX
Directs Integrated Nano Computing Lab, focusing on nanodevices and various contemporary research areas.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.