Humberto Gonzalez is a Staff Data Scientist in the San Francisco Bay Area with 12 years of experience applying numerical methods, optimization, and control theory to real-world problems. He holds a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley and transitioned from academia—where he ran robotics, optimization, and control research as an assistant professor—to industry roles solving complex data challenges. At LinkedIn he focuses on scalable, production-ready solutions informed by deep mathematical foundations and hands-on coding in Python, Matlab, and C. His background includes leadership positions at BlackThorn Therapeutics and startups, blending translational biotech analytics with applied control systems expertise. Colleagues know him for bringing rigorous dynamical-systems thinking to data science problems that are often treated as purely statistical. He often bridges theory and practice, turning advanced optimization techniques into robust, deployable models.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Sciences at University of California, Berkeley
Master of Science (M.Sc.) Electrical Engineering, Master of Science (M.Sc.) Electrical Engineering at Universidad de Chile
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