Summary
Bert Huang is a Principal AI Computational Scientist at the Broad Institute of MIT and Harvard, bringing over a decade of experience in machine learning research and its biomedical applications. After a career as an academic ML researcher and professor—covering roles at Virginia Tech, Tufts, and Columbia University—he transitioned to industry to apply AI to real-world problems, most recently at Snorkel AI and now at Broad. His work has focused on learning with structured data, graphical models, and combinatorial optimization, underpinned by a PhD in Computer Science from Columbia. Based in Waltham, Massachusetts, he combines rigorous research with practical deployment to advance AI-driven discovery and responsible innovation. He has a track record of shaping teams across academia and industry and is motivated to leverage ML knowledge to make the world a better place. He is currently exploring next steps while continuing to contribute to AI that improves outcomes in science and healthcare.
13 years of coding experience
20 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Columbia University
Bachelor's degree, Bachelor's degree at Brandeis University
chinese (spoken mandarin)