Jeff Craley
Sr. Imaging And Machine Learning Engineer at Elucid
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJeff Craley is a senior imaging and machine learning engineer with a decade of experience applying signal processing and ML to neuromedical and clinical problems. With a PhD from Johns Hopkins and roles spanning postdoctoral research on EEG biomarkers to production ML at Elucid and nference, he bridges rigorous research—localizing seizure foci and probing EEG signatures of pain—with applied engineering in healthcare startups. Based in Cambridge, MA, he combines deep expertise in time-series bio-signal feature extraction and change-point detection with hands-on product delivery. An electrical engineer by training who started in aerospace and humanities, he brings an uncommon blend of technical rigor and communication skills that helps translate complex neurotech research into deployable solutions.
10 years of coding experience
6 years of employment as a software developer
Johns Hopkins UniversityB. S; B. A, Aerospace Engineering; English Literature, Language, and Culture; English, B. S; B. A, Aerospace Engineering; English Literature, Language, and Culture; English at Virginia Polytechnic Institute and State University (Virginia Tech)Master of Science (MS), Electrical, Electronics and Communications Engineering, Master of Science (MS), Electrical, Electronics and Communications Engineering at Boston University
Github Skills (3)
prediction6
visualizer5
visualization3
Programming languages (1)
Github contributions (5)
jcraley/jcraley.github.io
Jul 2019 - Sep 2020
Contributions:14 pushes in 1 year 1 month
jcraley/jhu-eeg
Mar 2020 - Apr 2021
JHU EEG
Contributions:1 release, 82 commits, 35 pushes in 1 year 1 month
jhueeg
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