I’m a cognitive science researcher and visiting research fellow at the University of Sussex, with a primary interest in neuroscience and machine learning. I’m all about building tools for practical purposes, not so much about knowledge for its own sake.
Building on my PhD on closed-loop brain stimulation, at present my focus is on building better diagnostic and therapeutic tools to treat neuropathologies.
Aside from this, I enjoy researching large-scale complex systems – physical, chemical, biological or social, as I see them as fundamentally interconnected.
My most recent works include:
- A portable system for noninvasive neuromodulation using neurofeedback-informed photic stimulation with a custom EEG headset via LSL.
- A Matlab toolbox for the pre-processing and in-depth analysis of large-scale electroencephalography (EEG) data (time-frequency, functional connectivity, etc.) for measures of attention, emotional valence, cognitive load, and approach/avoidance tendencies.
- Hierarchical support-vector machine classifiers to recognise mental commands via a real-time EEG signal in Matlab.
- P300 and SSVEP selectors in Python to allow for EEG data to serve as software input without extensive prior training of either algorithm or user.
- A Python program that takes camera input (webcam / external camera) to estimate the heart rate of the user.
- A Matlab program for EEG neurofeedback to train measures of calm and focus using LSL.
- Large-scale Python-based data analysis of financial markets for computational investing.
Get in touch if you’d like to learn more about what I’m working on now.