Elizabeth Spencer
Postdoctoral Researcher at Carnegie Mellon University
Greater Boston United States
Summary
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Senior🎓
Top SchoolElizabeth Spencer is a postdoctoral researcher at Carnegie Mellon University with a decade of experience applying computational and statistical methods to neural systems. She completed a PhD in computational neuroscience at Boston University, where her thesis combined biomarker discovery and modeling to interrogate childhood epilepsy and Angelman syndrome. Her work bridges theoretical techniques—state-space models and Kalman filtering—with practical neuroscience, from retinal molecular mapping to sensorimotor adaptation experiments. Comfortable teaching and translating advanced methods (summer courses at Berkeley and Minnesota), she brings both deep math training and interdisciplinary curiosity, pairing a BS in Mathematics with a BA in French.
10 years of coding experience
The University of Maryland, College ParkDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Boston University
French
Github Skills (8)
estimate9
causal8
temporal8
smoothing7
procedure5
python5
machine-learning2
deep-learning1
Programming languages (2)
Github contributions (5)
erss/spectral-fitting-sbm
May 2017 - Apr 2020
Contributions:5 commits, 4 pushes, 1 branch in 2 years 11 months
erss/spline-granger-draft
Jan 2017 - Oct 2017
Contributions:137 commits, 93 pushes, 1 branch in 9 months
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