Judah Engel is an experienced engineer and researcher with a strong background in artificial intelligence and full-stack development. As a founding engineer at Scale AI and a stealth startup, Judah contributed to innovative projects, including an AI-enabled notebook for automating financial research workflows. Judah's academic experience includes work at Columbia University, where involvement in the Tavaré Lab and Blei Lab focused on approximate Bayesian computation, multi-parameter inference for ovarian cancer models, and probabilistic modeling for protein engineering. Judah also held a research fellowship at Columbia's Math Department and led Columbia University's Neurotech X club, promoting brain-computer interface applications. As an AI and machine learning instructor at Inspirit AI, Judah taught key concepts in machine learning. Judah holds a B.A. in Computer Science (Intelligent Systems) and Biophysics from Columbia University.
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