Kenji Lee
Ph.D. Student And Teaching Fellow at Boston University Graduate School of Arts & Sciences
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKenji Lee is a Ph.D. student and teaching fellow at Boston University who blends in vivo electrophysiology with machine learning to dissect how cortical areas, layers, and cell types coordinate during perceptual decision-making. With nine years of research experience across the Allen Institute, University of Washington, and other labs, he has developed pipelines for imaging, automated QC tooling, and cell-type identification from neural recordings. His work pairs hands-on experiments—simultaneously recording multiple prefrontal areas during behavior—with nonlinear dimensionality reduction and ML models to uncover computational motifs that can inform artificial intelligence. He also brings strong quantitative training (M.S. in Applied Mathematics) and classroom leadership as a teaching fellow for graduate-level cognitive neuroscience courses. Less obvious: he has driven cross-disciplinary engineering efforts (eye-tracking integration, data-pipeline automation) that moved large public data releases forward and presented at major conferences.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Applied Mathematics, Master of Science (M.S.), Applied Mathematics at University of WashingtonHawaii Baptist AcademyBachelor of Science (B.S.), Majors in Biochemistry and Mathematics; Minor in Neuroscience, Bachelor of Science (B.S.), Majors in Biochemistry and Mathematics; Minor in Neuroscience at University of Puget SoundDoctor of Philosophy (M.A./Ph.D.), Psychological and Brain Sciences (Brain, Behavior, and Cognition Program), 3.92, Doctor of Philosophy (M.A./Ph.D.), Psychological and Brain Sciences (Brain, Behavior, and Cognition Program), 3.92 at Boston University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (41)
projection10
dimensionality-reduction10
uniform10
electrophysiology10
topological-data-analysis10
approximation10
manifold9
neuroscience9
spike9
sorting8
machine-learning8
binder8
visualization8
visual-analytics7
python7
Programming languages (3)
Github contributions (5)
EricKenjiLee/erickenjilee.github.io
Jul 2017 - Aug 2021
Sometimes neuroscience. Sometimes math. Sometimes data science. Always my thoughts!
Contributions:68 commits, 68 pushes, 6 branches in 4 years 1 month
mathdata-analysispythonneurosciencescience
EricKenjiLee/WaveMAP_Paper
Feb 2021 - Jan 2023
This repo allows for the complete reproduction, from processed data, of all the main and supplemental figures in the manuscript Non-linear Dimensionality Reduction on Extracellular Waveforms Reveals Physiological, Functional, and Laminar Diversity in Premotor Cortex.
Contributions:1 release, 66 commits, 4 PRs in 1 year 10 months
dimensionality-reductionlouvain-community-detectionshapumap
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.