Jorge Ortiz is an Assistant Professor and PI of the Sensing and Reasoning Lab at Rutgers with 15 years of experience advancing multimodal sensing and machine learning to support causal inference and decision-making. He blends academic rigor from a PhD and MS at UC Berkeley and a BS from MIT with hands-on industry impact as AI lead for the New York Yankees’ quantitative research and computer vision efforts. His work spans foundational research and product-focused applications, translating sensor-driven models into real-world systems for sports and beyond. As a founder operating in stealth and a lab director, he uniquely navigates between entrepreneurship, team leadership, and deep technical research. An often-overlooked strength is his ability to operationalize complex causal ML ideas into deployable pipelines that inform rapid decision cycles.
14 years of coding experience
PhD, Computer Science, PhD, Computer Science at University of California, Berkeley
Bachelor of Science Degree, Computer Science and Engineering, Bachelor of Science Degree, Computer Science and Engineering at Massachusetts Institute of Technology
Bronx Science
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at UC Berkeley
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Jorge Ortiz - Assistant Professor at Rutgers University