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Leadership
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Research & Academics Committee
External Advisory Committee
Collaborative Research Teams
Contact Us
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
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
What’s Happening
News
Industry Speaker Series
Data Sciences Speaker Series
Talent Showcase
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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Using machine learning to uncover genetic perturbations in cancer
Summer 2025
Supervisor:
Sushant Kumar
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Analysis of indoor air quality data using physics-informed machine learning
Summer 2025
Supervisor:
Seungjae Lee
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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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Molecular encoding of sensory and internal signals in individual neurons
Summer 2025
Supervisor:
Tatsuya Tsukahara
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Statistical learning for censored data
Summer 2025
Supervisor:
Jun Young Park
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Special Education and Early Years Education in Canada
Summer 2025
Supervisor:
Elizabeth Dhuey
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Uncovering Barriers to Health Equity: An NLP Analysis of Patient Experience Data from 45 Ontario Hospitals
Summer 2025
Supervisor:
Zahra Shakeri
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Weight and activation quantization using mathematical optimization for efficient training and inference in large language models
Summer 2025
Supervisor:
Samin Aref
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Wired for Wellness: A Focus on Promoting Apprentices, Contractors, and Employers’ Mental & Physical Health and Well-Being
Summer 2025
Supervisor:
Behdin Nowrouzi-Kia
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Reproducible neuroimaging: Pipelines for MRI and MEG data
Summer 2025
Supervisor:
Bradley Buschbaum
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Multiomics data analysis and visualization to investigate cross-talk between cells in integrated organ-on-a-chip models
Summer 2025
Supervisor:
Hagar Labouta
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Locating genetic ancestors with ancient DNA
Summer 2025
Supervisor:
Matthew Osmond
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Piccard: An Open-Source Tool to Analyze Longitudinal Data without Geographic Harmonization
Summer 2025
Supervisor:
Fernando Calderón Figueroa
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Predicting age-related cognitive decline using advanced brain MRI data
Summer 2025
Supervisor:
Jean Chen
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Predicting Feeding Intolerance and Healthcare Utilization among Children with Gastrostomy Tubes
Summer 2025
Supervisor:
Nathan Taback
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Predicting mature oocyte yield with follicular output rate (FORT) in assisted reproductive technology
Summer 2025
Supervisor:
Nigel Pereira
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Machine Learning to Uncover the Oldest Light in the Universe
Summer 2025
Supervisor:
Adam Hincks
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Leveraging LLMs for Automated Peer Review of Randomized Controlled Trials (RCTs)
Summer 2025
Supervisor:
Michael Fralick
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Inferring interior ocean properties from satellite images of its surface
Summer 2025
Supervisor:
Nicolas Grisouard
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How Well Do Households Understand Stock Market Returns?
Summer 2025
Supervisor:
Michael Boutros
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Harnessing Large Language Models for Smart Grid Security and Optimization
Summer 2025
Supervisor:
Deepa Kundar
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Grounded Debate for AI Safety
Summer 2025
Supervisor:
Kristen Menou
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Integrating predictive analytics into an equity dashboard
Summer 2025
Supervisor:
Myrtede Alfred
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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
Read more
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