Jonathan Michaels
Assistant Professor at York University
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolJonathan Michaels is an Assistant Professor and systems neuroscientist with a decade of research experience probing how brains and machines control movement. Trained with a PhD from Georg-August-Universität Göttingen and shaped by postdoctoral fellowships at Stanford, Deutsches Primatenzentrum, and Western (Banting and BrainsCAN), he leads the Neural Control & Computation lab at York University studying neural mechanisms of motor control and computational models that bridge biology and robotics. His work blends experimental neurophysiology with computational modeling, translating fundamental insights into algorithms for artificial systems. Based in Old Toronto, he combines deep academic pedigree with collaborative, cross-disciplinary projects and a track record of securing competitive fellowships.
10 years of coding experience
Doctor of Philosophy - PhD, Systems Neuroscience, Doctor of Philosophy - PhD, Systems Neuroscience at Georg-August-Universität GöttingenBachelor of Science - BSc (Honours), PSYCHOLOGY, Bachelor of Science - BSc (Honours), PSYCHOLOGY at Queen's University
Github Skills (78)
reward10
calculator9
electrophysiology9
forge9
binder9
recurrent9
neuroscience9
spike9
computer-vision8
computational-biology8
recurrent-neural-networks8
rule8
sorting8
android8
matlab7
Programming languages (4)
Github contributions (5)
JonathanAMichaels/PixelProcessingPipeline
Apr 2022 - Feb 2023
This toolbox easily and automatically processes Neuropixels and Myomatrix data recorded during experiments
Contributions:1 release, 1 review, 1030 commits in 9 months
JonathanAMichaels/hfopt-matlab
Nov 2019 - Oct 2022
A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).
Contributions:22 commits, 17 pushes in 2 years 11 months
cpurecurrentrnnmatlabparallel
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