Work Experience: Leader of the Computational Neural Information Engineering Laboratory; Research Projects: Interpretable Divergences, Graph and Signal Processing for Neuroimaging, Reference Prioritisation With PICO, Quantifying Informativeness, Recurrent Waveforms Within EEGs, Metric Learning for Neural Decoding, etc.
Background
Research Interests: Data Science, Machine Learning, Signal Processing; Professional Field: Computer Science, Data Science, Engineering (Electrical, Computer, Neural); Brief Introduction: Leads a team of computer scientists, data scientists, and engineers, focusing on extracting actionable information from complex data, especially to understand and interface with the brain.