John Deisz is a physics professor and academic leader with 13+ years of higher-education experience and a deep specialization in scientific computing and parallel algorithm development for GPUs and distributed systems. As Associate Dean for the Natural Science Division and long-time physics faculty, he blends administrative leadership with hands-on research and teaching, having chaired a department and held visiting fellowships internationally. His work centers on developing efficient MPI/CUDA-based algorithms for computational materials problems, and he brings strong oral and written communication skills honed through university teaching and peer-reviewed publishing. Based in Westlake Village, CA, he pairs rigorous PhD-level training with practical classroom innovation, including computational physics curricula that translate cutting-edge research into student-ready learning experiences.
13 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Applied Science/Engineering, Master of Science (M.S.), Applied Science/Engineering at University of California, Davis
Ph. D., Physics, Ph. D., Physics at The Ohio State University
Bachelor of Science (B.S.), Physics, Mathematics, Bachelor of Science (B.S.), Physics, Mathematics at North Dakota State University
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