Summary
Kristin Branson is a senior group leader and head of computation and theory at HHMI Janelia Research Campus, where she applies machine learning and computer vision to biology. Since 2000 she has advanced ML/CV methods, including pioneering video-based animal tracking with Ctrax that made quantitative behavioral analysis accessible to biologists. Her work focuses on turning large trajectory datasets into new scientific insights by formulating practical mathematical criteria and optimizing them with ML. She leads cross-disciplinary teams, translating complex requirements into tools and visualizations that are broadly adopted across fields. Her technical repertoire spans CNNs, RNNs, transformers, reinforcement learning, VAEs, GANs, imitation learning, forecasting networks, generative AI, graphical models, boosting, and particle filtering. Based in Ashburn, Virginia, she holds a CS degree from Harvard and a PhD from UC San Diego, reflecting a career that bridges research, engineering, and science-driven impact.
15 years of coding experience