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About
About
Leadership
Staff
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
Community
Research Software Development Office
DSI Research Network
Postdoctoral Fellows
Doctoral 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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Automated Text Analysis of Fake News and Biased News
Summer 2024
Supervisor:
Shion Guha
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Meta-analysis of randomized control clinical trial data
Summer 2024
Supervisor:
Charlie Boone
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Multiomics data analysis and visualization to investigate cross-talk between cells in integrated organ-on-a-chip models
Summer 2024
Supervisor:
Hagar Labouta
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Population genomics of an insect outbreak
Summer 2024
Supervisor:
John Stinchcombe
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Retention & Graduation by Design: Unveiling Predictive Paths to Student Success
Summer 2024
Supervisor:
Susan McCahan
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Robustness and transparency for machine learning models
Summer 2024
Supervisor:
Rahul Krishnan
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Searching for Stellar Streams with 10 Million Stars in the Milky Way
Summer 2024
Supervisor:
Ting Li
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The Impact of Solid Organ Transplantation on Work and Earnings
Summer 2024
Supervisor:
Karim Ladha
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The link between neuroinflammation and neurological markers of depression
Summer 2024
Supervisor:
Jean Chen
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Understanding the Neural Correlates of Attention in Children via Neuroimaging Data
Summer 2024
Supervisor:
Tom Chau
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Using advanced machine learning approaches to optimize psychological test efficiency interview
Summer 2024
Supervisor:
Kang Lee
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Using Natural Language Processing to Understand Naturalistic Speech Perception Herrman
Summer 2024
Supervisor:
Bjorn Herrmann
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Using single-cell data analysis approaches to inform the design of iNKT-targeted cancer immunotherapies
Summer 2024
Supervisor:
Jastaran Singh
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Mass extinctions and nocturnal behaviour: an analysis of the cryptic activity patterns of arthropods
Summer 2024
Supervisor:
Maxwell Shafer
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Machine Learning to Uncover the Oldest Light in the Universe
Summer 2024
Supervisor:
Adam Hincks
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GPU-accelerated Gene Regulatory Network Construction
Summer 2024
Supervisor:
Gary Bader
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Galactic Paleontology: Uncovering the Assembly History of Dwarf Galaxies using their Surviving Stars
Summer 2024
Supervisor:
Joshua Speagle
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Few-shot action recognition in video data
Summer 2024
Supervisor:
José Zariffa
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Equitable Streets: Unveiling the Impact of Automatic Speed Enforcement on Road Safety Disparities in Guelph
Summer 2024
Supervisor:
Brice Batomen Kuimi
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Engagement, Recruitment and Retention of Small-to-Medium Enterprises in the Skilled Trades in Ontario: Understanding the Impact of the Employer Through an Occupational Lens
Summer 2024
Supervisor:
Behdin Nowrouzi-Kia
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Learning the DNA characteristics of mutational processes in cancer
Summer 2024
Supervisor:
Juri Reimand
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Interactive approaches to automatic source code summarization using deep learning
Summer 2024
Supervisor:
Eldan Cohen
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Improving a flexible search system for high-accuracy identification of biological entities and molecules using AI
Summer 2024
Supervisor:
Gary Bader
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Dating stars with contrastive learning
Summer 2024
Supervisor:
Jo Bovy
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