Chris Brown
A data scientist who has spent his career turning messy real-world data into decisions that hold up at scale. At Bonafide he leads product and the science behind how the platform reasons about a brand.
Before Bonafide, Chris founded Decision Patterns, a machine-learning consultancy that became the go-to data science partner for an unusually wide range of clients: Google, Visa, Gap, McKesson, Wells Fargo, the U.S. Department of Defense. The work spanned ad targeting, fraud detection, logistics, and in-the-moment decision support; one of those tools went on to win a national award. Before that he was Chief Data Scientist at ADARA, where he built the models that powered the company's global media buying and traveler analytics. That work began the decade-long collaboration with Layton Han that eventually led to co-founding Bonafide. He has also taught computer science at UC Berkeley.
At Bonafide, Chris's job is to make AI legible. The models that recommend brands to consumers are black boxes to the brands themselves. You cannot see what they know about you, and you cannot tell when the knowledge is wrong. Chris leads the product and research effort to make that knowledge observable, correctable, and enforceable across every surface a brand cares about. The brands that win in agentic commerce will not be the ones that publish the most content; they will be the ones with the most trustworthy signal.