Grace Lindsay is an assistant professor and computational neuroscientist with 15+ years of research experience and a decade of formal roles spanning PhD work, postdoctoral positions at Columbia and UCL, and faculty appointment at NYU. She combines theoretical neuroscience with machine learning applications to climate, signaling a rare interdisciplinary reach from neural circuit theory to real-world environmental problems. A Google PhD Fellow and former chair of communications for Neuromatch Academy, she blends deep technical expertise with science outreach and education. Based in New York, she runs the Lindsay Lab and maintains an active research profile that emphasizes theory-driven models and practical ML deployments beyond academia.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Columbia University in the City of New York
B.S., Neuroscience (Computational), Chemistry, Religious Studies, B.S., Neuroscience (Computational), Chemistry, Religious Studies at University of Pittsburgh
Contributions:7 commits, 6 pushes, 3 branches in 1 month
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Grace Lindsay - Assistant Professor at New York University