Katie Bouman is a Ph.D. candidate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), under the supervision of William T. Freeman. She previously received a B.S.E. in Electrical Engineering from the University of Michigan, Ann Arbor, MI in 2011 and an S.M. degree in Electrical Engineering and Computer Science from MIT, Cambridge, MA in 2013. Her masters thesis on estimating material properties of fabric from video won the Ernst A. Guillemin Thesis Prize for outstanding S.M. thesis in electrical engineering at MIT. The focus of Katie’s research is on using emerging computational methods to push the boundaries of interdisciplinary imaging.