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Emergent Data Sciences & Initiatives
Bridging the Gap: Computational Physics, to Physics-informed ML, to Data-driven Scientific Discovery
Advancing Aging and Neurodegeneration Research through Data Science
Galvanizing Data Science Applications in Early Stage Drug Discovery
Computational & Quantitative Social Sciences, DSI@UTSC
Computational & Quantitative Social Sciences (CQSS) Methods Training Days DSI@UTSC
Blitz Workshop, CQSS
AI for Qualitative Research Workshop
Policy Lab in collaboration with DLSPH
Responsible Data Science, DSI@UTM
Data and the Metaverse, Responsible Data Science, DSI@UTM
Data Digests
Funding & Support
Catalyst Grant
Claude API Credit Award
Computational and Quantitative Social Sciences Grant
Critical Investigation of Data Science Grant
Data Access Grant
Research Software Development Support Program
Emergent Data Sciences Program
Summer Undergraduate Data Science (SUDS) Research Program
Call for Faculty and Principal Investigator Supervisors
Become a SUDS Industry Partner
SUDS Internships
Mitacs Accelerate SUDS Internships
SUDS International
SUDS Student Call
SUDS Cohort Programming
SUDS Showcase
SUDS Project Archive
Doctoral Student Fellowship
Postdoctoral Fellowship
Schmidt AI in Science Postdoctoral Fellowship
Banting-DSI Discovery Award in Data Science
STAGE
Acknowledge the DSI
Training & Education
Data Science Certificate – Doctoral
Microcredential – Data Science Foundations
Microcredential – Machine Learning Foundations
Microcredential – Genetic Data Analysis Toolbox
Microcredential – Deploying AI
DSI-CARTE Machine Learning Bootcamp for Faculty
CrossTALK: Cross-Training in AI and Laboratory Knowledge for Drug Discovery
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Industry Speaker Series
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Scanning the Aging Brain: Harmonization, Reproducibility, and Emerging Data Science Methods
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Through SUDS, undergraduate students engage in hands-on research focused on data sciences and AI methodology applications.
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Adam Hincks
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A secondary analysis of the NISCI Trial – GRASSP/ISNCSCI/SCIM/CMAP
Summer 2025
Supervisor:
Sukhvinder Kalsi-Ryan
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Advanced Climate Downscaling for Engineering and Climate Impacts Analysis
Summer 2025
Supervisor:
Paul Kushner
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AI-guided curation of electronic medical records using large language models
Summer 2025
Supervisor:
Kieran Campbell
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Analysis of indoor air quality data using physics-informed machine learning
Summer 2025
Supervisor:
Seungjae Lee
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Application of deep-learning to enable quantitative brain hemodynamic mapping using resting-state fMRI
Summer 2026
Supervisor:
Jean Chen
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Bridging Administrative Decisions and Caseworker Narratives: A Computational Exploration of Child Welfare Practices
Summer 2025
Supervisor:
Shion Guha
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Data-Driven Analysis of Help-Seeking Student Behaviour in Programming Education with LLM Integration
Summer 2025
Supervisor:
Michael Liut
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Deep learning methods for decoding peripheral nervous system activity
Summer 2025
Supervisor:
José Zariffa
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Defining cell types from single-cell data with hierarchical clustering and graph-based significance testing
Summer 2025
Supervisor:
Michael Weinberg
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Designing Better Psychological Scales Using AI: A Case Study
Summer 2025
Supervisor:
Feng Ji
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Detection of immune aggregates from histopathology imaging using foundation models
Summer 2025
Supervisor:
Kieran Campbell
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Developing a Secure Multitask Learning Framework for Mental Health Diagnostics
Summer 2025
Supervisor:
Deepa Kundar
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Estimating selection on gene expression
Summer 2025
Supervisor:
Jacqueline Sztepanacz
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Evaluating Bias and Sycophancy in Clinical Large Language Model Summaries
Summer 2025
Supervisor:
Zahra Shakeri
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Examining the Impact of Built Environment Factors on Breast Cancer Risk among BRCA Mutation Carriers in Canada
Summer 2025
Supervisor:
Joanne Kotsopoulous
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Examining the Impact of Built Environment Factors on Breast Cancer Risk among BRCA Mutation Carriers in Canada
Summer 2025
Supervisor:
Joanne Kotsopoulous
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Fantastic beasts and when to find them: leveraging citizen science to understand the activity patterns of animals
Summer 2025
Supervisor:
Maxwell Shafer
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Finding Substructures within the Milky Way with Geometric Deep Learning
Summer 2025
Supervisor:
Ting Li
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Grounded Debate for AI Safety
Summer 2025
Supervisor:
Kristen Menou
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Harnessing Large Language Models for Smart Grid Security and Optimization
Summer 2025
Supervisor:
Deepa Kundar
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How Well Do Households Understand Stock Market Returns?
Summer 2025
Supervisor:
Michael Boutros
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Inferring interior ocean properties from satellite images of its surface
Summer 2025
Supervisor:
Nicolas Grisouard
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Integrating predictive analytics into an equity dashboard
Summer 2025
Supervisor:
Myrtede Alfred
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Investigation genomic repeats through long-read sequencing
Summer 2025
Supervisor:
Lisa Strug
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