Lucia Huo is a Technology Policy graduate student and researcher at MIT’s Healthy Machine Learning lab who blends AI/ML research with policy-driven product experience to study how generative models affect human and societal health. With eight years of experience spanning product management roles at Microsoft—where she led Responsible AI efforts for GPT-based models, DALL·E and Azure Face APIs—and hands-on NLP research from her UPenn days, she bridges rigorous technical understanding with practical governance. Her background in philosophy and computer science informs a thoughtful approach to ethical trade-offs in model design and deployment, and she has translated that into operational safeguards for large-scale AI services. Co-founding a nonprofit as an undergraduate and later supporting women’s health AI projects demonstrates a pattern of mission-driven work beyond core product responsibilities. Based in Cambridge, she is advised by Dr. Marzyeh Ghassemi and brings a rare combination of product delivery, policy fluency, and research-savvy to the intersection of AI and public health.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science - BASc, Computer and Information Science & Philosophy (Double Major), Bachelor of Applied Science - BASc, Computer and Information Science & Philosophy (Double Major) at University of Pennsylvania
Masters of Science, Institute for Data Systems and Society, Masters of Science, Institute for Data Systems and Society at Massachusetts Institute of Technology
High School, High School at York House School
Cross Registration, Cross Registration at Harvard T.H. Chan School of Public Health
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