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About
Leadership
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Research & Academics Committee
External Advisory Committee
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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
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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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AI for Examining Commercial Determinants of Health in Online Gaming and Gambling
Summer 2024
Supervisor:
Zahra Shakeri
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AI to decipher subclass switching across cancers
Summer 2024
Supervisor:
Kieran Campbell
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AI-based Multi-Sensor Processing for Real-time Analytics in the Medical Imaging Department
Summer 2024
Supervisor:
Andrew Brown
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Applying Data Science Tools to Examine the Wiring Principles of an Intact Neural System
Summer 2024
Supervisor:
Mei Zhen
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Automated Text Analysis of Fake News and Biased News
Summer 2024
Supervisor:
Spike W.S. Lee
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Bioinformatics of long-read sequencing technologies
Summer 2024
Supervisor:
Lisa Strug
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Bridging the gap between speech sciences and machine learning for speech processing
Summer 2024
Supervisor:
Ewan Dunbar
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Characterizing the molecular basis of social recognition in the nose
Summer 2024
Supervisor:
Tatsuya Tsukahara
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Characterizing the relationship between environmental exposures and breast cancer risk among a cohort of high-risk women
Summer 2024
Supervisor:
Joanne Kotsopoulos
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Climate Change Adaptation in Brazil: Long Term Impacts of Rainfed Water Cisterns on Health Outcomes
Summer 2024
Supervisor:
Gustavo J. Bobonis
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Combining Theory and Data in Machine Learning Applications in Astronomy
Summer 2024
Supervisor:
Joshua Speagle
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Comparative genomics of cell types
Summer 2024
Supervisor:
Jesse Gillis
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Data science and global health: investigating the relationship between disease and data science methodology
Summer 2024
Supervisor:
Aya Mitani
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Dating stars with contrastive learning
Summer 2024
Supervisor:
Jo Bovy
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Developing an intelligent health equity dashboard
Summer 2024
Supervisor:
Myrtede Alfred
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Developing Sleep Behavioural Model using Transfer Learning Approaches
Summer 2024
Supervisor:
Camellia Zakaria
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Development of deep learning model for accelerating chemical reaction discovery
Summer 2024
Supervisor:
Hans-Arno Jacobsen
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Development of deep learning solutions for 4D image segmentation of spatial omics data
Summer 2024
Supervisor:
Ahilya Sawh
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Diffusion Policies for Discrete and Continuous Actions
Summer 2024
Supervisor:
Florian Shkurti
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Discover an ultra-diverged RNA virus in the human brain
Summer 2024
Supervisor:
Artem Babaian
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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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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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Few-shot action recognition in video data
Summer 2024
Supervisor:
José Zariffa
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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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