Naftali Harris is the Co-Founder and CEO of SentiLink, a San Francisco-based identity verification and fraud prevention company that helps over 400 financial institutions - including 10 of the 15 largest U.S. banks - detect synthetic identities and application fraud in real time. A Stanford-trained statistician who left his PhD program to become Affirm's first data scientist, Harris co-founded SentiLink in 2017 after seeing sophisticated fraud schemes up close. The company has raised $84 million in total funding, verifies over 3 million identities daily, and has been recognized by Forbes 30 Under 30 and American Banker's 2024 Innovators of the Year.
Christoph Molnar is a Munich-based statistician-turned-ML-author who turned a side project into the field's most-cited book on interpretable machine learning. Author of six books including the canonical 'Interpretable Machine Learning' (3rd ed., 2025), he runs the Mindful Modeler newsletter and consults on making black-box models explainable. With 16,000+ Google Scholar citations and a PhD from LMU Munich, he sits at the precise intersection where statistical rigor meets machine learning pragmatism.