Garrett Katz is an Assistant Professor and computer scientist with a decade of experience at the intersection of neural modeling, robotics, and applied data science. He holds a PhD in Computer Science and has a publication record spanning computational neuroscience, robotic imitation learning, and structural biology, reflecting deep expertise in modeling complex systems. At Syracuse University he leads research translating neural models into robotic and cognitive insights, while concurrently building data infrastructure and simulation tools for sustainable vertical farming at Upward Farms. His background blends rigorous academic mentorship and teaching with hands-on engineering—designing sensor pipelines, crop-scheduling algorithms, and cause-effect reasoning frameworks for imitation learning. Based in Syracuse, NY, he pairs philosophical and mathematical training with practical systems work, a combination that surfaces in cross-disciplinary projects from cryo-EM analysis to agricultural automation.
10 years of coding experience
7 years of employment as a software developer
The University of Maryland, College Park
Bachelor of Arts - BA, Philosophy, cum laude, Bachelor of Arts - BA, Philosophy, cum laude at Cornell University
Master of Arts - MA, Mathematics, Master of Arts - MA, Mathematics at City University of New York City College
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Garrett Katz - Assistant Professor at Syracuse University