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Thomas Tam
Health Innovation • CMU Startup • Applied AI @ NASA and Pitt • Nucleate Pittsburgh
Thomas Tam is a Healthcare AI entrepreneur and researcher with a focus on applying AI in healthcare, collaborating with clinicians, patients, and stakeholders to identify solutions. His work has been recognized at Microsoft Research and the Journal of the American Medical Informatics Association (JAMIA).
Passionate about fostering entrepreneurship in Pittsburgh's health innovation ecosystem, Thomas serves as the Co-Director of Events at Nucleate Pittsburgh and a two-time Patient Safety Fellow at Jewish Healthcare Foundation. Additionally, he collaborates with NASA on AI projects.
Thomas's expertise lies in Innovation and Product Management, Foundation Models in Healthcare, Multimodal AI (including Natural Language Processing and Computer Vision), as well as the Development, Deployment, and Evaluation of AI models in Healthcare.
Educationally, Thomas has a Master of Science in Data Analytics from Carnegie Mellon University and a diverse undergraduate background spanning Economics, Liberal Studies, and Political Science from universities like The Hong Kong University of Science and Technology, University of California, Berkeley, and HKUST Business School.
His professional journey includes roles at NASA as a Machine Learning Engineer and Health Data Scientist, founding a HealthTech Startup at Project Olympus CMU, and involvement in AI research at universities like University of Pittsburgh, University of Illinois Urbana-Champaign, and Carnegie Mellon University.
Furthermore, Thomas has experience as a Senior Product Manager at Tencent, Assistant Product Manager at HKT, Strategy Analyst at CSL Limited in Hong Kong, and roles in data science and research at organizations like 412 Food Rescue, NASA, and the Berkeley Roundtable on the International Economy.