Nicholas Hardy

Principal Scientist, Machine Learning And Neuroscience at Synchron

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Nicholas Hardy is a Principal Scientist specializing in machine learning and neuroscience with nine years of experience building clinical brain-computer interface (BCI) systems that translate neural activity into real-world assistive technologies. Based in the San Francisco Bay Area, he has led cross-functional teams at Synchron to design, validate, and deploy real-time decoding pipelines for a commercial neural prosthetic after advancing BCI performance during a UCSF postdoc that yielded a Nature Biotechnology co-first-author paper. His work spans deep reinforcement learning for online decoders, large-scale neural data analysis, and the infrastructure to move models from research into clinical product. Nicholas also advises early-stage neurotech investors, blending rigorous academic training (PhD, UCLA) with pragmatic product and regulatory awareness to assess scientific feasibility. An underappreciated strength is his track record in outreach and translating complex neuroscience for nontechnical stakeholders, from K-12 programs to venture partners.
code9 years of coding experience
job4 years of employment as a software developer
bookThe University of Maryland, College Park
bookDoctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at University of California, Los Angeles
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Github Skills (18)

python9
kite9
kubernetes8
autocomplete4
visual-studio-code3
ipad3
jedi2
pdf-reader2
python-extension2
mobile2
atom-plugin2
android2
hidden-files2
typescript1
code-completion1

Programming languages (6)

TypeScriptJavaJavaScriptHTMLMATLABPython

Github contributions (5)

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nhardy01/RNN

Apr 2017 - Jun 2018

Contributions:14 commits, 2 PRs, 7 pushes in 1 year 1 month
gangulylab/Center-Out

May 2019 - Nov 2019

Implementation of a "Center-Out" task design using PsychToolbox
Contributions:20 pushes, 1 branch in 5 months
centerpsychtoolbox
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