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Felix Heide is an Assistant Professor in the Department of Computer Science at Princeton University. He leads the Princeton Computational Imaging Lab, focusing on the intersection of optics, machine learning, optimization, and computer graphics within the realm of imaging and vision systems. His research aims to develop innovative imaging and display technologies, with an emphasis on creating systems that improve upon traditional computational methods. Felix has co-authored 30 publications and holds six patents, showcasing his contributions to advancements in computer vision and robotics. He obtained his PhD from the University of British Columbia in 2017 and has also completed postdoctoral work at Stanford University. His doctoral dissertation, supervised by Professor Wolfgang Heidrich, was awarded the Alain Fournier Ph.D. Dissertation Award at SIGGRAPH for its outstanding contributions. In recognition of his research excellence, he was named a 2023 Sloan Research Fellow by the Sloan Foundation.
Princeton University • Princeton, NJ
Assistant Professor in the Department of Computer Science, directing research in computational imaging and computer vision.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.