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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
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
What’s Happening
News
Industry Speaker Series
Data Sciences Speaker Series
Talent Showcase
Scanning the Aging Brain: Harmonization, Reproducibility, and Emerging Data Science Methods
Bridging the Gap mini symposium
Community
Research Software Development Office
DSI Research Network
Postdoctoral Fellows
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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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Ahilya Sawh
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Accelerating Cosmic Discovery with Bayesian Analysis
Summer 2026
Supervisor:
Renee Hlozek
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AI for Better Breathing: Exploring the Science of Indoor Air Quality Using Physics-Informed Machine Learning
Summer 2026
Supervisor:
Seungjae Lee
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Assessing Global Change Effects on Biodiversity
Summer 2026
Supervisor:
Tianna Peller
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Assessing the Economic Benefits of Green Cities Using Vegetation Indices and Housing Market Data
Summer 2026
Supervisor:
Yuhong He
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Automated Feature Engineering of Synchrotron Data
Summer 2026
Supervisor:
Jason Hattrick-Simpers
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Benchmarking Astronomical Foundation Models
Summer 2026
Supervisor:
Jo Bovy
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Bioinformatics of Plant-microbiome Interactions
Summer 2026
Supervisor:
Megan Frederickson
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Building Scalable Infrastructure for Distributed Quantum Algorithms
Summer 2026
Supervisor:
Hans-Arno Jacobsen
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Classifying Fish Species with Sound
Summer 2026
Supervisor:
Vianey Leos Barajas
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Combining Bayesian Optimization and 3D Molecular Simulations to Accelerate Medicinal Chemistry
Summer 2026
Supervisor:
Matthieu Schapira
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Combining Natural Language Processing with Functional MRI to Understand the Imaginative Brain
Summer 2026
Supervisor:
Donna Rose Addis
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Computational Analyses of Neural Stem Cell Transcriptomes
Summer 2026
Supervisor:
Derek Van Der Kooy
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Computational Mapping of Relationship Discourse on Reddit
Summer 2026
Supervisor:
Emily Impett
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Data Analytics and Optimization Algorithm Development for Equitable Resource Allocation for Electric Power Restoration Decision-making After Natural Disasters
Summer 2026
Supervisor:
Samin Aref
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Data Science for Workplace Injury Care: Using AI to Improve Medical Chart Review and Rehabilitation Outcomes
Summer 2026
Supervisor:
Behdin Nowrouzi-Kia
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Data-Centric AI: Structuring Chemical Knowledge for Machine Learning
Summer 2026
Supervisor:
Benjamin Sanchez-Lengeling
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Data-driven Parcellation of the Human Brain Claustrum
Summer 2026
Supervisor:
Kamil Uludag
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Developing Datasets and Algorithms for Metabolic Modelling and Engineering
Summer 2026
Supervisor:
Radhakrishnan Mahadevan
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Do Homeowners Miss Out? A Study of Mortgage Refinancing Using Micro-Data
Summer 2026
Supervisor:
Michael Boutros
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Early Disease Diagnostics with AI-accelerated Volumetric Electron Microscopy
Summer 2026
Supervisor:
Mei Zhen
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Emotionally Aware AI Math Tutors
Summer 2026
Supervisor:
Kang Lee
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Feature Recommendations in Mechanical Computer-Aided Design
Summer 2026
Supervisor:
Alison Olechowski
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Fine-tuning LLMs for Clinical Research
Summer 2026
Supervisor:
Sanjay Mahant
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GeoAI-Driven Analysis of Urban Heat, Green Infrastructure, and Socioeconomic Inequality in Ontario
Summer 2026
Supervisor:
Jue Wang
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