Emily 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.
11 years of coding experience
6 years of employment as a software developer
Sc.B., Cognitive Neuroscience, Sc.B., Cognitive Neuroscience at Brown University
UWC Adriatic
Doctor of Philosophy (Ph.D.), Computational Neuroscience, Doctor of Philosophy (Ph.D.), Computational Neuroscience at Boston University
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Emily Stephen - Assistant Professor at Boston University