Divya Sharma
Department of Mathematics and Statistics, York University
Deep Learning Methods for Multimodal Clustering and Outcome Prediction in Knee Osteoarthritis

Learning objectives

  • Highlight the use of deep learning, specifically VAEs, for integrating high-dimensional multi-omic data
  • Present a novel multimodal framework for identifying distinct clusters in patients
  • Explore the application of machine learning models to predict pain and functional outcomes using multimodal data
  • Demonstrate the potential of advanced multimodal approaches for uncovering meaningful insights in healthcare research

Speaker biography

Dr. Sharma is an Assistant Professor in the Department of Mathematics and Statistics at York University, with cross-appointments as an Assistant Professor (status-only) at the Dalla Lana School of Public Health, University of Toronto, and as a Clinician Investigator at the University Health Network (UHN). Her research focuses on developing bespoke deep learning models for integrative, high-dimensional multimodal healthcare data. Her work, published in journals like Lancet Digital Health and Bioinformatics, prioritizes robust ML models for personalized medicine and clinical deployment.