Kyle Johnsen

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.
code9 years of coding experience
job4 years of employment as a software developer
bookOlympus High School
bookDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Georgia Institute of Technology
bookBachelor’s Degree, Bioinformatics, Computer Science Minor, Bachelor’s Degree, Bioinformatics, Computer Science Minor at Brigham Young University
languagesEnglish, Spanish, German, Chinese, Hebrew
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Github Skills (200)

code-generation10
visual-studio10
cpp10
brian10
electrophysiology10
control-theory10
time-tracking10
jupyter-extension10
poisson10
finance10
neuroscience10
azure-openai10
package-manager10
particle-filter10
jira10

Programming languages (12)

TypeScriptC#JuliaJavaRC++CCMake

Github contributions (5)

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siplab-gt/tklfp

Dec 2021 - Jun 2024

Lightweight package for computing the kernel LFP approximation from Teleńczuk et al., 2020
Contributions:7 releases, 1 PR, 22 pushes in 2 years 5 months
kernellfpcomputational-neuroscienceteleapproximation
siplab-gt/cleo

May 2021 - Aug 2022

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