Gregory LaBlanc is a lecturer in the areas of finance, strategy, innovation, and data science at Stanford, Berkeley, and HEC Paris. The recipient of multiple teaching awards, he has developed courses and curriculum for undergraduate, graduate, and executive programs in Data Strategy, Machine Learning, Digital Transformation, Human Resource Strategy, Behavioral Finance, Fintech, Blockchain, and Venture Finance. He has worked with executives and managers at over 100 companies and governments around the world on decision making, leadership, and strategy and advised dozens of startups, particularly in fintech, AI, and analytics fields. He is a graduate of the Wharton School, and studied law at Duke University, George Mason University, and UC Berkeley School of Law and his research lies at the intersection of law, innovation and the use of data in rapidly changing industries. He recently launched a new podcast, UNSILOED, which celebrates interdisciplinary academic research relevant to decision makers and curious intellectuals.