Michael Sinanian

Michael Sinanian is a seasoned product manager and educator with extensive experience at the intersection of machine learning, business strategy, and product development. With a background in launching and scaling digital products across sectors like healthcare, enterprise SaaS, and IoT, Michael brings a rich blend of technical expertise and strategic insight to his teaching. He has served as a Principal Product Manager at Revenue.io and as Head of Product at LynxDx, where he scaled the company's laboratory software to over 2.5 million tests, resulting in $100 million in revenue. Michael has consistently focused on deploying AI-driven solutions that drive both product and organizational growth, with an emphasis on user-centric design and regulatory compliance.

Michael’s academic background and hands-on industry experience focuses on a rigorous understanding of AI’s business implications and the skills needed to operationalize AI in real-world settings. Michael’s research and publications have focused on both cognitive science and the legal dimensions of autonomous technologies, reflecting his commitment to responsible AI development.

Michael holds an M.S. in Information Science (specializing in Human-Computer Interaction) and a J.D. in Law, both from the University of Michigan, along with a B.A. in Political Economy from UC Berkeley, cum laude.