Fedkiw (the Canon Professor in the School of Engineering) received his Ph.D. in Mathematics from UCLA and spent part of his postdoctoral studies at Caltech in Aeronautics before joining the Stanford Computer Science Department. He was awarded an Academy Award from the Academy of Motion Picture Arts and Sciences (twice: 2008 and 2015), the National Academy of Science Award for Initiatives in Research, a Packard Foundation Fellowship, a Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, the ACM Siggraph Significant New Researcher Award, an Office of Naval Research Young Investigator Program Award (ONR YIP), the Okawa Foundation Research Grant, the Robert Bosch Faculty Scholarship, the Robert N. Noyce Family Faculty Scholarship, three distinguished teaching awards including the Tau Beta Pi Teaching Excellence Award (for 2020-21), etc. He has published over 140 research papers in computational physics, graphics, learning, and vision, a book on level set methods, and is currently working at the interface between physical simulation and machine learning – having joined the Stanford Artificial Intelligence Laboratory (SAIL) in 2017. Currently, he serves on the editorial board of the Journal of Computational Physics. He was a consultant with Industrial Light + Magic for over 19 years, receiving screen credits on movies such as “Terminator 3: Rise of the Machines”, “Star Wars: Episode III – Revenge of the Sith”, “Poseidon”, “Evan Almighty”, “Kong: Skull Island”, etc. Currently, he is a consultant at Epic Games (for 4 years). He has graduated 40 Ph.D. students so far, and is very proud of their various amazing accomplishments!
https://physbam.stanford.edu/~fedkiw/