Hi, I'm Yahya

Assistant Project Scientist & Principal Investigator at the Swartz Center for Computational Neuroscience, UC San Diego

I develop open-source tools for biosignal analysis and contribute to neuroinformatics standards. My research integrates computational neuroscience with human cognition and behavior, focusing on EEG/EMG signal processing, neuroinformatics infrastructure, and the neural control of movement.

Affiliations

Featured Work

HBN-EEG	FAIR implementation of the Healthy Brain Network EEG dataset; 3,600+ participants, BIDS-formatted with HED annotations
NEMAR Citations Dashboard	Interactive analysis of dataset citations and research impact within the NEMAR ecosystem
Annotation Garden	Open infrastructure for collaborative annotation of neuroscience stimuli
signalJourney	Specification and toolkit for standardizing electrophysiology processing pipelines

Open-Source Tools

Standards & Infrastructure

EMG-BIDS Extension - Extending BIDS for EMG and high-density EMG data
Stim-BIDS Extension - Standardizing stimulus presentation and annotation

Signal Processing

biosigio - Unified biosginal exporter to EDF, Zarr, Parquet, and more.
emg2mu - PyTorch-accelerated EMG decomposition
hdEMG-Decomposition - ICA decomposition for high-density sEMG

AI/LLM Integration

MATLAB-MCP - Model Context Protocol for MATLAB
HED-MCP - MCP implementation for HED annotations

Research Initiatives

EEGManySteps - Community-driven standardization for Mobile Brain/Body Imaging
unisep - Unified Sensor Placement framework for annotating wearables placement

Connect

Pinned Loading

MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units

MATLAB 49 9
PyTorch-Accelerated High-Density EMG Decomposition to Motor Units in Python

Jupyter Notebook 17 3
Multi-Agent System for HED Annotation Generation

Python 9 3
An MCP to develop MATLAB pipelines section by section and read figures one dimension at a time

Python 18 6
A skill marketplace for academic research: from project management to literature review, making figures and writing reports and grants.

Python 42 7
LLM-friendly JSON-based presentation engine

JavaScript 1