About
Who I am
A NeuroTech expert branching out into Blockchain.
My expertise resides at the intersection of Brain-Computer Interfaces, Cognitive Neurosience, Machine Learning, Deep Learning, Data Science, Software Dev., Research, Leadership, Management, Entrepreneurship, and Public Speaking. More recently Blockchain, Smart Contracts, Ethereum, and Solidity
I'm best known for (1) NeuroTechXthat I started in 2015 and grew to the largest neurotech community with chapters and activities all over the world and (2) my Deep Learning review paper for EEG (900+ citations).
As opposed to most engineers, I don't fall in love with the features I'm building. I remain client-centered and product-obsessed. I want to know how it's being used and what people have to say about it.
I think we live in the best time in history. What a time to be alive!
Skills
Tech Stack
Python
C
C++
Matlab
R
Solidity
Javascript
NextJS
React
Tailwind CSS
Jupyter
Github
Projects
What I've Built
Publications
What I've Published
Deep learning-based electroencephalography analysis: a systematic review
Y. Roy, H. Banville, I. Albuquerque, A. Gramfort, T.H. Falk, J. Faubert
2019 | Deep Learning, EEG, Review
Is the Contralateral Delay Activity (CDA) a robust neural correlate for Visual Working Memory (VWM) tasks? A reproducibility study
Yannick Roy and Jocelyn Faubert
2022 | EEG, CDA, VWM, Reproducibility, Python
Significant changes in EEG neural oscillations during different phases of 3D-MOT task imply different roles for attention and working memory.
Yannick Roy and Jocelyn Faubert
2022 | EEG, 3D-MOT, Attention, Working Memory, Neural Oscillations
Passive EEG Brain-Computer Interface (BCI) for a 3D Multiple Object Tracking (3D-MOT) task
Yannick Roy and Jocelyn Faubert
2022 | BCI, EEG, 3D-MOT, Machine Learning
The Future of NeuroTechnology
NeuroTechX - Community Effort
2021 | NeuroTechnology, Introduction, Past, Present, Future
Validation of temporal scoring metrics for automatic seizure detection
V. Shah, I. Obeid, J. Picone, G. Ekladious, R. Iskander, Y. Roy
2020 | Deep Learning, EEG, Scoring, Metrics, Seizure Detection, Big Data
StaR: An EEGLAB Framework for the Measure Projection Toolbox (MPT) Statistical Analyses to be Performed in R
Y. Roy, JC Piponnier, J. Faubert
2016 | Mixed-Models (MME), R, EEG, EEGLAB, MPT, Statistical Analysis
