Masaki Nakanishi
Data Scientist
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMasaki Nakanishi is a data scientist and algorithm developer focused on applying signal processing, machine learning, and wearable sensing to biomedical, physiological, and neural data. Over the past decade he has led and published on 10+ neuroscience and clinical studies, collected ExG data from 200+ subjects, and authored 50+ peer-reviewed articles with over 3,000 citations. He has delivered practical clinical and product-facing outcomes—improving EEG classification accuracy, identifying diagnostic biomarkers, and helping validate an ultra-small multimodal wearable sensor for industry partners. Based in San Diego, he consults and freelances for healthtech and neurotech companies while working as a data scientist at Zansors, bridging academic rigor with rapid product development. An often-overlooked strength is his experience operationalizing human-subject experiments safely during COVID-19, enabling research continuity under difficult constraints.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at 東京農工大学 / Tokyo University of Agriculture and TechnologyVisiting Graduate Student, Visiting Graduate Student at Univeristy of California, San DiegoDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at 慶応義塾大学 / Keio University
Japanese, English
Github Skills (5)
brain-computer-interface10
high-speed10
steady-state10
columns6
publish4
Programming languages (3)
Github contributions (5)
mnakanishi/TRCA-SSVEP
Dec 2017 - Sep 2022
Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).
Contributions:13 commits, 6 PRs, 18 pushes in 4 years 9 months
brainspeedbrain-computer-interfacebcipotentials
mnakanishi/mnakanishi.github.io
Sep 2023 - Oct 2024
Contributions:15 pushes, 1 branch in 1 year 1 month
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