Masaki N.

Let's make the world healthier! I am a data/research scientist with 10+ years of deep involvement in neuroscience, biomedical engineering, and clinical research. My background includes digital signal processing, machine learning, statistical modeling & testing, and research design. Successfully-completed projects: 1. Automatic EEG artifact detection and editing 2. Time-series action recognition using acoustic and accelerometric data 3. Heartbeat-related ERP (HEP) visualization 4. ABX testing on food samples 5. Designing wearable sensors 6. Human performance analysis using PPG and GSR data 7. Heart-rate variability (HRV)-based clinical diagnosis 8. Implementing an online EEG/SSVEP-based brain-computer interface (BCI) 9. Automatic sleep-stage classification using deep neural network 10. Unsupervised clustering (Kmeans, UMAP) clinical data for individualized medicine 11. Academic research (50+ peer-reviewed articles, 3000+ citations, 100+ peer-reviews) Skillset: - Programming: Python, MATLAB, R, BigQuery - ML libraries: Scipy, Scikit-Learn, Pytorch, Pandas, Numpy - Data visualization: Matplotlib, ggplot2, Tableau - Electrophysiology: EEG (research-grade/wearable), ECG, EMG, EOG, PPG, GSR, accelerometer - Data acquisition: LabStramingLayer (LSL) - EEG analysis: EEGLAB, MNE - Version control: Github - Editing: LaTeX, BibTex