Neil Rubens is a Professor and AI entrepreneur based in Tokyo with 15 years of experience building research-led machine learning, information retrieval, and personalization systems. He founded Active Intelligence and advises multiple AI startups and accelerator cohorts, blending academic rigor (PhD in ML from Tokyo Institute of Technology) with hands-on product and advisory roles at Visa, Techstars, and several startup boards. His work spans active learning, recommender systems, NLP and predictive analytics, with a track record of mentoring PhD students and translating research into commercial products and grants-winning educational apps. Notably, he combines long-form academic appointments with direct engineering leadership and startup mentorship, making him fluent in both peer-reviewed research and fast-paced product development.
14 years of coding experience
19 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Brigham Young University
Computer Science, Computer Science at Frank Phillips College
PhD, Computer Science (Machine Learning), PhD, Computer Science (Machine Learning) at Tokyo Institute of Technology
MS, Computer Science, MS, Computer Science at University of Massachusetts Amherst
Innovation Analysis, Innovation Analysis at Stanford University
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