Ph.D. Candidate in Electrical and Computer Engineering at University of Toronto
Data Scientist | Machine Learning Researcher | AI Engineer
Specializing in Machine Learning in Healthcare, Time Series Analysis, High-Dimensional Data Integration, and Contrastive Learning
Selected research projects and publications in Machine Learning and Data Science.
Ph.D. research developing random representation learning and segmentation-based deep learning methods for time-series data, including RASTER, ISD, HIERVAR, and T-ROCKET to identify informative regions and enhance feature discriminability.
Designing deep learning models including the OscilloFusion Attention architecture for multi-channel oscillometry fusion and phenotype classification at University Health Network (UHN).