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Overview

I am a cognitive neuroscientists, specializing in work seeking to analyze and understand neuro-electrophysiological signals that can be recorded from the brain.

Research interests

My research is focused is understanding how patterns of electrical activity in the brain relates to cognition, and how dysruptions in these patterns relates to clinical disorders. The brain is made up of billions of neurons which signal to each other using charged ions, which can be recorded as patterns of electrical activity. By recording these electrical patterns and comparing them to cognitive tasks and/or clinical disorders, work in cognitive and clinical neuroscience seeks to understand how the functioning of the brain gives rise to our cognitive capacities, and how this can be disrupted in clinical disorders. To investigate these questions, my research program combines methods development -including work investigating how to best measure, analyze, and interpret electrical signals - with empirical work investigating how these patterns relate to cognition and disease.

Methodological knowledge

- MEG, EEG, & iEEG recordings from human subjects

- Single-neuron analyses including with neuro-surgical patients

- Digital signal processing (DSP) & time series analyses

- Methods development & data science approaches

Qualifications

PhD in Cognitive Science, University of California, San Diego, California, USA

BA&Sc in Cognitive Science, McGill University, Montreal, Canada

Education/Academic qualification

Doctor of Philosophy, Measuring and Investigating Periodic and Aperiodic Neural Activity, University of California,San Diego

1 Sept 20141 Sept 2020

Award Date: 1 Sept 2020

Bachelor of Science, McGill University

1 Sept 20111 Jun 2014

Award Date: 1 Jun 2014

Areas of expertise

  • RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
  • Cognitive Neuroscience
  • Electrophysiology
  • Cognitive Science
  • Data Science
  • Spectral Parameterization

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