Ann Kennedy is an associate professor and theoretical neuroscientist at Scripps Research with eight years of independent research experience focused on neural network modeling and the neural control of complex behavior. Trained at Columbia (PhD) and Johns Hopkins (BS), her work blends dynamical systems, statistical physics, control theory, and machine learning to probe how cell-state and signaling changes reshape population dynamics to drive survival behaviors. Her lab leverages tools from reinforcement learning and computer vision to link single-cell and circuit-level mechanisms to behavior, reflecting a rare mix of quantitative theory and experimental motivation from hypothalamic studies. Moving from a six-year postdoc at Caltech to faculty roles at Northwestern and now Scripps, she is known for framing biological questions in mathematically principled ways that suggest testable interventions.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Neurobiology and Behavior, Doctor of Philosophy - PhD Neurobiology and Behavior at Columbia University
Bachelor of Science - BS Biomedical/Medical Engineering, Bachelor of Science - BS Biomedical/Medical Engineering at Johns Hopkins Whiting School of Engineering
Contributions:4 commits, 4 pushes in 2 years 3 months
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