About me.

Education & Research Background

I hold an MSc in Computer Science from the Lassonde School of Engineering, York University within the NWGNR Lab. My thesis focused on the development of modern deep learning methods for time series analysis, with an emphasis on uncertainty quantification, and how to adapt current methods to irregular time series (e.g., variable-length, irregularly-sampled). Throughout my MSc I worked in parallel with the NSBPSL within the Krembil Research Institute at Toronto Western Hospital with a focus on developing state-of-the-art methods for interpretation of neurological diseases in time series data, and their clinical applications. I was also a research intern at T-CAIREM, where I advanced SSL techniques with GNN encoders to boost seizure detection downstream, for which I continued my work on seizure onset zone (SOZ) localization that was accepted to the NeurIPS 2024 Workshop on Time Series in the Age of Large Models. During my undergrad I had the privilege of holding the NSERC USRA position twice at York University where I worked on algebraic combinatorics and operator algebras. I also have a fascination with quantum computing, which led me to participate in the esteemed USEQIP program at the Institute for Quantum Computing, University of Waterloo. Before all of this, my research journey began at the Population Neuroscience & Developmental Neuroimaging Lab within Holland Bloorview Kids Rehabilitation Hospital studying the effects of the human voice within an evolutionary and psychological framework.