Emily Stephen
Assistant Professor at Boston University
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolEmily Stephen is an assistant professor of statistical neuroscience based in Boston with 11 years of research and teaching experience bridging computational methods and clinical neurophysiology. Her work spans dynamic functional connectivity, real-time EEG/ECoG decoding, and statistical models for anesthesia-related neural rhythms, developed during postdocs at MIT and UCSF and a PhD from Boston University. She has a track record of translating novel signal-processing models into collaborative, reproducible codebases—leading a lab-wide GitHub transition—and mentoring students on source localization and statistical analysis. Notably, she discovered a new pattern of phase-amplitude coupling under propofol that informs both theory and clinical understanding of loss of consciousness. Emily combines rigorous statistical training with hands-on experimental work, making her research both methodologically innovative and practically impactful.
12 years of coding experience
6 years of employment as a software developer
Sc.B., Cognitive Neuroscience, Sc.B., Cognitive Neuroscience at Brown UniversityUWC AdriaticDoctor of Philosophy (Ph.D.), Computational Neuroscience, Doctor of Philosophy (Ph.D.), Computational Neuroscience at Boston University
Github Skills (26)
frequency-domain10
visualization10
spectrogram10
python10
statistics10
machine-learning10
electrophysiology10
neuroscience10
neuroimaging10
d3js9
nwb9
time-series5
open-source5
data-processing3
signal-processing3
Programming languages (4)
Github contributions (5)
BU-Intro-Stats/MA213-basic-prob-stats
Jan 2025 - Jun 2026
👩🏻🏫 Slides for OpenIntro Statistics
Contributions:1 release, 23 reviews, 44 PRs in 1 year 4 months
statistics
emilyps14/mne-python
Nov 2015 - Apr 2018
Contributions:2 PRs, 20 pushes, 10 branches in 2 years 4 months
pythonelectroencephalographymneeegmagnetoencephalography
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