Dan Keefe is a Distinguished University Teaching Professor and Professor of Computer Science and Engineering at the University of Minnesota. His research centers on scientific data visualization and interactive computer graphics. Keefe’s research awards include the National Science Foundation CAREER Award, the UMN Guillermo E. Borja Award for research and scholarly accomplishments, the 3M Non-tenured Faculty Award, and multiple best paper and similar awards at top international conferences, such as IEEE VIS and ACM Interactive 3D Graphics. His teaching and mentoring have been recognized by the UMN Morse-Alumni Undergraduate Education and Bowers Teaching Awards. Keefe's research program has been supported with funding from the National Science Foundation, the National Institutes of Health, the National Academies Keck Futures Initiative, industry, and the UMN Provost's Grand Challenges program. In addition to his work in computer science, Keefe is also an accomplished artist and has published and exhibited work in top international venues for digital art. Before joining the University of Minnesota, Keefe did post-doctoral work at Brown University jointly with the departments of Computer Science and Ecology and Evolutionary Biology and with the Rhode Island School of Design. He received the Ph.D. in 2007 from Brown University’s Department of Computer Science and the B.S. in Computer Engineering summa cum laude from Tufts University in 1999.