Research
My interests span brain–computer interfaces, EEG and human–computer interaction. I am especially interested in the human side of neural technology: how signals are acquired, how decoding systems behave across people, and how a system should communicate uncertainty in an interactive setting.
Motor imagery
My graduate work and current journal manuscript focus on comparing convolutional and transformer architectures for subject-independent motor-imagery decoding. The manuscript is under review at Journal of Neuroscience Methods after a major revision.
Imagined speech
I am a co-author on an imagined-speech decoding manuscript currently in preparation, with a planned submission to Expert Systems with Applications. It has not yet been submitted.
Human-centered neurotechnology
My applied work includes EEG analysis and reporting software, cognitive assessment games and the SyncNeurons platform. These projects connect signal processing and AI implementation with the interfaces people use.
Methods & tools
Python · PyTorch · EEG signal processing · MNE-Python · EEGLAB · machine learning · explainable AI · UI/UX · backend development