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