Our faculty are not content to trod well-worn engineering paths. Instead, they are driven to pursue innovations in teaching, research that address truly complex challenges, and to pursue worldwide leadership roles in their fields. See Also: Emeritus Faculty Directory.
Associate Professor, Computer Science, Adjunct Faculty, Data Science Institute , Adjunct Faculty, School of Medicine Center of Public Genomics
Yanjun Qi is an Associate professor (tenured) of the University of Virginia, Department of Computer Science since 2013. She was a senior researcher in the Machine Learning Department at NEC Labs American, Princeton, NJ from July 2008 to August 2013. Her research interests are within…
Kun Qian is an Assistant Professor in the Department of Computer Science at the University of Virginia. He is also a member of the Link Lab. Before joining UVA, he was a postdoctoral researcher at the University of California San Diego. He received his Ph.D. and B.E. from Tsinghua…
Jesse Quinlan works as a senior aerospace engineer in the Aeronautics Systems Analysis Branch and leads a team with a focus on applications to large, commercial, transport aircraft for the NASA Advanced Air Transport Technology Project. At the AATT he manages the development and execution of aircraft development, design, and technology assessment.
Associate Professor, Mechanical and Aerospace Engineering, and Electrical and Computer Engineering
Associate Professor Quinn first came to the University of Virginia as an undergraduate student in 2006. For his doctoral work, Professor Quinn was awarded the American Physical Society’s Andreas Acrivos Dissertation Award in Fluid Dynamics. He went on to become a Postdoctoral Fellow in the Bio-Inspired Research and Design at Stanford University.
Quinn's research focuses on optimization and simulation methods used to inform the design and management of water resources systems with the goals of protecting people from nature (floods and droughts), and nature from people (pollution and consumption). She is interested in how advanced sensing and forecasting techniques inform this optimization.
