statistics
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The Statistician Who Put AI to a Public Vote
Anastasios Angelopoulos spent years asking how unreliable models could produce trustworthy decisions. Then a bare-bones Berkeley experiment turned millions of ordinary users into the jury for the AI industry.
Nicolai Baldin
Nicolai Baldin is the co-founder and CEO of Synthesized, a London and New York-based DataOps and AI-powered test data automation platform he launched after a PhD in machine learning and statistics at the University of Cambridge. Synthesized generates synthetic, compliant, production-like data that enterprises use to test software, train models, and share information across regulatory boundaries. In September 2025 the company raised a $20M Series A led by Redalpine to expand into automated software testing for the age of 'vibe coding.'
Naftali Harris
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
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.