Erica Busch is a PhD candidate in neuroscience at Yale with eight years of research and teaching experience bridging cognitive science, computational methods, and psychology. Her work applies high-dimensional neuroimaging techniques and machine learning to map social perception and decision-making, building on computational projects from octopus motor-tracking to hyperalignment in human fMRI. She combines rigorous quantitative skills with hands-on mentoring and program leadership, having directed a large one-on-one youth mentoring program and tutored programming, math, and sciences for years. Erica has a multidisciplinary background from Dartmouth (Cognitive Science, Computer Science, Spanish) and earlier research funding and scholarships that reflect early recognition of her promise. Comfortable translating complex methods for diverse audiences, she brings both deep technical expertise and proven community-facing leadership to translational neuroscience projects. An unusual strength is her experience deploying deep-learning tracking tools for nonstandard organisms, demonstrating creativity in adapting computational approaches to novel biological questions.
8 years of coding experience
General Psychology, General Psychology at Adelphi University
Bachelor's degree, Cognitive Science, Computer Science, Spanish, Bachelor's degree, Cognitive Science, Computer Science, Spanish at Dartmouth College
Doctor of Philosophy - PhD, Psychology - Neuroscience, Doctor of Philosophy - PhD, Psychology - Neuroscience at Yale University
Contributions:3 releases, 34 commits, 7 PRs in 9 months
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