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 (21)
data-analysis10
python10
frequency-domain9
matlab7
cfc5
neuroscience5
time-series4
estimate4
procedure4
causal3
classify3
temporal2
cpm2
generalized-linear-models2
smoothing2
Programming languages (4)
Github contributions (5)
Mark-Kramer/Seizure-Waves
May 2016 - Jun 2017
Contributions:17 commits, 6 pushes, 1 branch in 1 year
Mark-Kramer/Golden-Framework
Oct 2021 - Sep 2022
Contributions:30 commits, 15 pushes in 11 months
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