Ehsan Sedaghat-nejad
Senior Staff Machine Learning Research Engineer at Precision Neuroscience
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolEhsan Sedaghat-nejad is a Senior Staff Machine Learning Research Engineer and neuroscientist with 10+ years bridging biomedical research and production ML systems across academia and industry. He has architected core BCI codebases and production pipelines—from Neuralink decoders that set new speed benchmarks for typing, handwriting, and cursor control, to a speech neuroprosthesis and integrated LLM-supported predictive text for non-verbal users. At Johns Hopkins he built electrophysiology labs and released P-sort, an open-source real-time spike-sorting toolkit adopted internationally, and he has led end-to-end marmoset neurophysiology programs spanning mechanical, electrical, and software design. As a co-founder of a telerehab startup and contributor to device geometry and intraoperative workflows in clinical settings, he combines product-minded engineering with deep domain expertise in motor control and neural plasticity. He thrives in cross-disciplinary teams, enjoys mentoring and learning hands-on, and is known for turning complex neuroscience problems into reliable, production-ready solutions. Based in San Francisco, he brings a rare blend of lab-side experimentation and large-scale ML systemization that accelerates translational neurotechnology.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at The Johns Hopkins University School of MedicineHigh School Diploma, Mathematics and Physics, High School Diploma, Mathematics and Physics at National Organization for Development of Exceptional Talents (Sampad)Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Iran University of Science and TechnologyMaster of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Sharif University of Technology
English, Persian
Github Skills (8)
computational-neuroscience7
electrophysiology7
sorting6
neuroimaging5
python5
neuroscience5
decoding3
cross-platform3
Programming languages (2)
Github contributions (5)
esedaghatnejad/psort
Feb 2020 - Oct 2021
P-sort is an open-source, Python-based, cross-platform software with an intuitive GUI. It has been designed to address the challenges of cerebellar neurophysiology, specifically, sorting cerebellar Purkinje cells.
Contributions:1 release, 11 commits, 2 PRs in 1 year 7 months
sortneurosciencepythonneuroimagingaddress
esedaghatnejad/ESN_Psychophys
Jun 2021 - Jan 2022
Contributions:7 pushes in 6 months
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