Nigel Gebodh
Research Scientist at Stealth Startup
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNigel Gebodh is a research scientist and PhD-trained neural and biomedical engineer with eight years of experience developing health technologies, wearables, and physiological monitoring systems for organizations from Harvard Medical School to Meta and Philips. He blends deep expertise in signal processing, timeseries analysis, and neuromodulation with practical machine learning (TensorFlow, PyTorch, XGBoost) to create robust biomarkers and personalized stimulation protocols. Nigel has a strong track record of improving signal-to-noise in clinical and research devices, designing human-subject experiments, and scaling analyses with Python, MATLAB, and Dockerized workflows. Comfortable at the intersection of academia, industry, and stealth startups, he also explores generative AI and causal inference to push translational impact. A less obvious strength is his hands-on product design background—rapid prototyping and CAD work that accelerated device deployment in clinical settings.
8 years of coding experience
11 years of employment as a software developer
Fiorello H. LaGuardia High School of Music & Art and Performing ArtsDoctor of Philosophy - PhD Biomedical/Medical Engineering, Doctor of Philosophy - PhD Biomedical/Medical Engineering at The City College of New York
English, French, German
Github Skills (5)
electrophysiology8
computational-neuroscience8
reproducible-science7
neuroscience7
science6
Programming languages (1)
Github contributions (5)
ngebodh/MachineLearning
Jul 2019 - Oct 2019
Contributions:25 commits, 31 pushes in 2 months
ngebodh/ngebodh.github.io
Jun 2020 - Mar 2025
Contributions:4 PRs, 64 pushes, 4 branches in 4 years 9 months
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