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Biography

Experience & Education

2022 - Present

ML Engineering (EEG)

State++

Neuro-tech start-up developing analysis pipelines for tabular and biomedical timeseries (EEG brain activity) data. We recently achieved 2ⁿᵈ place in NeuroTechX's Global Hackathon Brain Age Prediction Challenge, using brain signals to predict user-age to a mean absolute error of 1.60 years.

2020 - 2022

University of Toronto Psychology Department

PhD Student in Social-Cognitive Neuroscience

2019 - 2020

University of Toronto Psychology Department

Masters Social-Cognitive Neuroscience

As a graduate student I specialized in applying computational methods to social-cognitive neuroscience questions.

Together with my advisor, we mapped fMRI-based information flow across brain areas during social decision-making, examined the dynamics of social category formation, and dabbled in deep reinforcement learning modeling of human social behaviour.

While I finished the Masters program (thesis link), developments in the neuro-tech industry increasingly captured my imagination and I decided to leave the PhD program.

2016 - 2019

University of Toronto Psychology Department

Research Analyst,

Computational Affective Neuroscience & 

Social Cognitive Science Labs

Years where I cut my teeth on computational neuroscience data analysis. Led analyses of ~5 projects a year (see archived stories for some examples). Taught neuroimaging analysis to graduate and undergraduate students. 

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