Jake Jiang

Head Of Brain-Computer Interface Research at The Johns Hopkins University School of Medicine

Nashville-Davidson, Tennessee, United States
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Summary

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Jake Jiang is Head of Brain-Computer Interface Research at Johns Hopkins with nine years of focused experience translating intracortical multielectrode signals into decoded hand gestures and evoked somatosensory perceptions for spinal-cord injury patients. He blends electrical engineering and physics fundamentals from Tsinghua with a master's in Biological Engineering to bridge neural signal acquisition, advanced preprocessing, and machine learning–based decoding. His work spans invasive data collection, artificial neural network design for spike decoding, and intracortical microstimulation to restore sensation—bringing both bench-side neuroscience and algorithmic rigor to clinical-grade BCI systems. Previously a senior researcher and postdoc at the Salk Institute, he has a track record of moving complex neurotechnology from experimental protocols toward translational impact. An often overlooked strength is his dual fluency in hardware-level signal considerations and modern ML architectures, which lets him optimize systems end-to-end for real-world neuroprosthetic performance.
code9 years of coding experience
job14 years of employment as a software developer
bookMaster's degree, Biological Engineering, Master's degree, Biological Engineering at University of Illinois Chicago
bookBachelor's degree, Electrical Engineering and Physics (x2 B.Sc.), Bachelor's degree, Electrical Engineering and Physics (x2 B.Sc.) at Tsinghua University
languagesChinese, English

Programming languages (2)

C#Java

Github contributions (5)

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jterhark/mantic-core

Aug 2018 - Oct 2019

An alternative to ADO.NET and Entity Framework
Contributions:22 commits, 2 pushes, 1 branch in 1 year 2 months
Contributions:1 PR, 2 pushes, 2 branches in 1 year 1 month
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Jake Jiang - Head Of Brain-Computer Interface Research at The Johns Hopkins University School of Medicine