PhD Student at The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Atlanta, Georgia, United States
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Summary
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Kyle Johnsen is a computational neuroengineer and PhD student at Georgia Tech and Emory with 10 years of software and research experience bridging control systems, dynamical modeling, and machine learning to advance causal neuroscience experiments. He develops closed-loop control strategies that enable single-trial perturbations of population-level neural activity, translating control theory into practical neurotech tools. Past software roles and internships show his full-stack engineering chops—AWS, Java/Scala, Spark, Python, Postgres, CI/CD—applied to large-scale web and bioinformatics projects. He combines hands-on lab experience (zebrafish genetics, quantum dot synthesis) with production-grade engineering practices, making him fluent in both experimental workflows and deployable software. Actively seeking a research scientist role in NeuroAI or neurotechnology, he brings a rare mix of control-systems rigor and applied ML for interpretable, causal neuroscience. A detail not obvious from titles: his work pioneers experiments that close the loop on complex population dynamics rather than only observing them.
9 years of coding experience
4 years of employment as a software developer
Olympus High School
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Georgia Institute of Technology
Bachelor’s Degree, Bioinformatics, Computer Science Minor, Bachelor’s Degree, Bioinformatics, Computer Science Minor at Brigham Young University
Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed for mesoscale neuroscience
Contributions:26 releases, 3 reviews, 171 commits in 1 year 3 months
connectivityneuroimagingpythonneuroscienceclosed
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Kyle Johnsen - PhD Student at The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University