Ashley Dale
TRustworthy AI Toolkit for Science (TRAITS)
Supervisor: Professor Jason Hattrick-Simpers (Department of Materials Science & Engineering)
Project Goal: To implement Trustworthy AI metrics to add explainability, reliability, and robustness to models used for the discovery of novel materials.
Research Interests: Al/ML Model Certification, Performance Metrics, Uncertainty Quantification
Fellowship: October 2024 – September 2026
Biprateep Dey
Connecting the light and dark sides of galaxy formation
Supervisor: Professor Joshua Speagle (Department of Statistical Sciences)
Project Goal: To use AI to predict galaxy distances directly from images and apply statistical techniques to explore correlations between galaxies and their neighbours.
Research Interests: Dark Matter, Galaxies, Computer Vision, Deep Neural Networks
Fellowship: September 2024 – August 2026
David Pellow
Machine learning models for improving liver outcomes
Supervisor: Professor Michael Brudno (Department of Computer Science)
Project Goal: To use AI and machine learning to develop models for predicting the risks of various adverse liver outcomes.
Research Interests: ML in healthcare, Liver Disease, Transplant
Fellowship: July 2024 – June 2026
Duo Xu
Unraveling star formation with artificial intelligence
Supervisors: Professor Peter Martin (Canadian Institute for Theoretical Astrophysics) & Professor Joshua Speagle (Department of Statistical Sciences)
Project Goal: To leverage advanced machine learning techniques to bridge the gap between simulations and real astronomical observations.
Research Interests: Star Formation, Interstellar Medium, Turbulence, Generative Model
Fellowship: August 2024 – July 2026
Ishrath Mohamed Irshadeen
Chemistry informed solubility prediction of peptoids
Supervisors: Professor Helen Tran (Department of Chemistry) & Professor Alan Aspuru-Guzik (Departments of Chemistry, Computer Science)
Project Goal: To model the properties of peptide mimics (peptoids) using AI and machine learning.
Research Interests: Protein Mimics, Peptoids, Solubility Prediction, Predictive Modelling
Fellowship: July 2024 – June 2026
Kevin Champagne-Jorgensen
Decrypting the hologenome to promote neuroimmune homeostasis
Supervisors: Professor Jennifer Gommerman (Department of Immunology) & Professor Bo Wang (Department of Laboratory Medicine & Pathobiology)
Project Goal: To investigate how microbes promote neuro-immune homeostasis and to develop strategies toward novel microbial therapeutics for multiple sclerosis.
Research Interests: Neuroimmunology, Multi-Omics, Microbe-Host Communication
Fellowship: May 2024 – April 2026
Matthew Thorstensen
Deep learning, evolution, and species richness: Why do some regions have so many species?
Supervisor: Professor Jason Weir (Department of Biological Sciences, UTSC)
Project Goal: To use ancestral recombination graphs to explore natural selection over time, and deep learning to classify different patterns of selection we find within and between species.
Research Interests: Deep Learning, Evolution, Natural Selection
Fellowship: January 2025 – December 2026
Mehdy Dousty
Gait analysis using radio frequency signals
Supervisors: Professor Ervin Sejdic (Department of Electrical & Computer Engineering) & Professor David Fleet (Vector Institute)
Project Goal: To develop machine learning methods to predict falls in elderly adults using wearable and non-wearable technology.
Research Interests: Deep Learning, Machine Learning, Radio Frequency, Gait
Fellowship: September 2024 – August 2026
Yilun Guan
Enabling the most sensitive measurement of cosmic birth with AI
Supervisors: Professor Renee Hlozek (Department of Astronomy & Astrophysics) & Professor Adam Hincks (Department of Astronomy & Astrophysics)
Project Goal: To develop and apply advanced AI technologies to improve precision and sensitivity when measuring cosmic microwave background (CMB) radiation.
Research Interests: Cosmology, Early Universe, Simons Observatory
Fellowship: August 2024 – July 2026
Zhewei Liu
Unpacking environmental injustices faced by North American vulnerable populations due to climate change
Supervisor: Professor Jue Wang (Department of Geography, Geomatics and Environment, UTM)
Project Goal: To mitigate the environmental hazard risks within vulnerable communities.
Research Interests: Climate Change, Environmental Hazards, Mobility-based Exposure
Fellowship: September 2024 – August 2026