Mark Kramer
Professor at Boston University
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMark Kramer is a Professor of computational neuroscience at Boston University with 11 years of focused experience translating mathematics, statistics, and machine learning into tools for probing neural data. He leads dual research streams: data-science methods to characterize neurophysiological recordings and mechanistic mathematical models that link those observations to biophysical and theoretical frameworks. Trained with a PhD in Engineering/Applied Physics from UC Berkeley and a BA from Oberlin, he blends rigorous quantitative training with deep domain knowledge in neuroscience. Colleagues know him for joining abstract theory to messy experimental data—turning large-scale recordings into testable hypotheses about circuit mechanisms.
11 years of coding experience
Doctor of Philosophy - PhD, Engineering Physics/Applied Physics, Doctor of Philosophy - PhD, Engineering Physics/Applied Physics at University of California, BerkeleyBachelor of Arts - BA, Bachelor of Arts - BA at Oberlin College
Github Skills (25)
data-analysis10
computational-neuroscience10
neurons10
python10
pandas10
machine-learning10
electrophysiology10
connectivity10
neuroscience10
data-science9
matlab7
pipeline5
classify4
estimate4
cfc4
Programming languages (4)
Github contributions (5)
Eden-Kramer-Lab/dppm
Aug 2018 - Nov 2020
Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM
Contributions:7 commits, 5 pushes, 1 branch in 2 years 3 months
matlabmmmpipelinedynamicaltracking
Mark-Kramer/Case-Studies-Kramer-Eden
Nov 2015 - May 2017
Contributions:16 commits, 10 PRs, 24 pushes in 1 year 6 months
data-analysispythondata-sciencemachine-learningneural-data-analysis
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