Nicholas Beaudoin is an AI executive and educator with experience in data science, machine learning, and generative AI across the public and private sectors. He currently serves as Head of AI at Addenso Labs, a data science and AI consultancy that helps clients turn statistical modeling and predictive analytics into better operational and business decisions. Nicholas leads the firm's AI practice, pairing new offerings and thought leadership with hands-on client delivery.
At Caltech's Center for Technology and Management Education (CTME), Nicholas serves as AI Advisor and Lead AI Instructor, having previously served as Director of AI Programs. After first joining Caltech as an instructor, he helped design and deliver many of the AI and Machine Learning courses CTME still offers today and went on to develop and expand its broader AI/ML portfolio. He was also instrumental in connecting Caltech AI/ML researchers with CTME's professional programs, helping build a portfolio that develops AI capability across leadership, engineering, and functional teams. He led the development of Managing Advanced Technologies for CTME's affiliation with the Technical University of Vienna (TU Wien). Through CTME, he has delivered AI and Machine Learning education to organizations including Boeing, Aramco, QatarEnergy, and Toshiba. He has also delivered keynotes for The Conference Board and is a frequent speaker on AI, innovation, and emerging technologies.
Prior to Caltech and Addenso, Nicholas held roles at Deloitte and specialized data science and AI consultancies, where he worked with clients including Mercedes-Benz, Honda, Warner Brothers, Disney, Estée Lauder, and multiple U.S. federal government agencies, including the Departments of Defense, Justice, State, Commerce, and Agriculture.
Nicholas holds a Master's degree in International Affairs, with a focus on International Economics and Econometric Modelling, from UC San Diego, and a Bachelor's degree in Political Science from Lewis & Clark College.
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