Building systems that turn neural signals into usable interfaces.
I’m a BCI-focused developer and researcher working across EEG, signal processing, machine learning, and real-time neural interfaces.
My work has evolved from software and machine learning into neural decoding and practical BCI systems.
Neural Signals
EEG · Motor Imagery · P300 · SSVEP · Signal Processing
Machine Learning
Deep Learning · EEGNet · Transformers · GNNs · Riemannian Methods
BCI Systems
LSL · ONNX · Real-Time Inference · Neural Interfaces
- Cross-subject EEG decoding
- Self-supervised learning for neural signals
- Real-time BCI pipelines
- Making BCI systems more practical and accessible
Build → Measure → Question → Improve
I care about reproducibility, honest evaluation, and understanding why a system works — not just getting a high score.
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Motor Imagery BCI
Real-time EEG decoding with EEGNet, ONNX and LSL. -
Self-Supervised EEG
Representation learning and few-shot adaptation for motor-imagery EEG. -
P300 / SSVEP Speller
EEG-based communication using P300 and SSVEP paradigms. -
Alzheimer's EEG Classification
Exploring deep-learning approaches to EEG-based classification.
Take BCI beyond controlled laboratories and toward systems people can actually use.