Scientific Advisory Board

Kat brings the healthcare, biological, and population-level context needed to turn advances in AI into systems that work in the real world. She leads the scientific development of Pathwai and the application of AI to healthcare commercialization.

Before joining BranchLab, Drake led the Computational Biology Data Science organization at Verily. Her work has spanned the pharmaceutical lifecycle, connecting computational methods with biological discovery, healthcare data, and commercial application.

Christopher Manning brings foundational expertise in natural language processing and computational semantics. He co-created GloVe, a foundational word-embedding model that helped pave the way for today’s large language models.

Manning is the Thomas M. Siebel Professor in Machine Learning at Stanford University, a co-founder and Senior Fellow of the Stanford Institute for Human-Centered Artificial Intelligence, and former Director of the Stanford Artificial Intelligence Laboratory.

Brad Hayes studies how people and intelligent systems work together. His research explores how AI can understand human intent, explain its reasoning, and collaborate effectively with people in complex environments.

His perspective helps BranchLab design intelligent systems that are not only technically capable, but also understandable and practical for the people who use them.

Daniel Larremore develops computational methods for understanding populations, networks, and the spread of information and disease. His work connects mathematical modeling with consequential questions in public health and computational social science.

His perspective helps BranchLab understand how relationships across populations and systems can be modeled responsibly to support better commercial and health decisions.