Summary
Bert Huang is a Principal AI Computational Scientist with 14 years of experience bridging academic research and industry applications in machine learning and AI. He has held faculty roles at Tufts and Virginia Tech, applied ML at Snorkel AI, and now leads AI efforts at the Broad Institute, bringing deep expertise in structured data, graphical models, and combinatorial optimization. His background includes a Columbia PhD and practical work ranging from spatial analytics at IBM to biomedical data programming, enabling him to translate theoretical advances into real-world scientific impact. Currently based in Waltham, MA, he is exploring next steps that emphasize using AI to improve societal and biomedical outcomes—a focus reflected across his academic and applied roles.
14 years of coding experience
19 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Columbia University
BS Computer Science Philosophy, BS Computer Science Philosophy at Brandeis University
chinese (spoken mandarin)