Summary
Mike Merrill is a behavioral data scientist and AI/NLP researcher with a decade of experience bridging mental-health-focused behavioral analytics and cutting-edge language model evaluation. After a PhD in computer science from the University of Washington and early work in ubiquitous and people-aware computing, he has held research and engineering roles at HealthRhythms, Apple, Google, and Stanford, and now contributes to Anthropic as a Member of Technical Staff. His work focuses on rigorous evaluation of agents and translating behavioral signals into robust ML models, combining academic rigor with product-minded engineering. Based in San Francisco, he brings a rare mix of clinical-oriented behavioral insight and hands-on NLP research, informed by postdoctoral work on agent evaluation under Ludwig Schmidt.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
Bachelor’s Degree Information Science, Bachelor’s Degree Information Science at Cornell University