Dillon Bowen is a Research Scientist at FAR.AI focused on understanding catastrophic risks from frontier AI models.

He completed his PhD in Decision Processes at the Wharton School of Business under Philip Tetlock, focusing on statistics, experiment design, and forecasting. Dillon was previously the principal data scientist at a London-based startup and collaborated on AI safety research through ML Alignment and Theory Scholars (MATS) and UC Berkeley’s Center for Human-Compatible AI (CHAI).