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About
Leadership
Staff
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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Advance causal inference analysis in R: A software Review
Summer 2022
Supervisor:
Kuan Liu
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AI classification of cancer patients into novel YAP-dependent subtypes.
Summer 2022
Supervisor:
Kieran Campbell
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Algorithmic Reparation: Analyzing and Improving the Bias-Fixing Algorithms in Data Science
Summer 2022
Supervisor:
Syed Ishtiaque Ahmed
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Algorithms and Statistical Tests for Real-World Adaptive Experiments to Enhance and Personalize Technology Interventions for Education, Mental/Physical Health, & Behaviour Change
Summer 2022
Supervisor:
Joseph Jay Williams
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Analyzing the performance of community detection algorithms in social networks and random graphs
Summer 2022
Supervisor:
Samin Aref
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Association of repeats in the SLC9A3 region with lung phenotypes in cystic fibrosis
Summer 2022
Supervisor:
Seema Mital
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Content analysis of over 150 years of news and articles
Summer 2022
Supervisor:
Periklis Andritos
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Data Science for White Shark Conservation
Summer 2022
Supervisor:
Vianey Leos Barajas
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Disparities in climate-induced health outcomes in the Greater Toronto Area
Summer 2022
Supervisor:
Rohan Alexander
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Diversification and evolution of ubiquitin across the Kingdom Fungi
Summer 2022
Supervisor:
Yan Wang
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Evaluating the contribution of dissolved inorganic carbon and alkalinity from pyrite oxidation to the marine carbon budget
Summer 2022
Supervisor:
Ulrich Wortman
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Implementation of serological and molecular tools to inform COVID-19 patient management: protocol for the GENCOV prospective cohort study
Summer 2022
Supervisor:
Lerner-Ellis Jordan
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Interactive approaches to automatic source code summarization using deep learning
Summer 2022
Supervisor:
Eldan Cohen
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Investigating Data Features for Reproducibility of Robust Educational Data Models
Summer 2022
Supervisor:
Michael Liut
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Investigating how the brain encodes memory
Summer 2022
Supervisor:
Josselyn Sheena
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Investigating the effects of cystic fibrosis drug treatments on human stem cell-derived lung models using single-cell RNA sequencing
Summer 2022
Supervisor:
Amy Wong
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Learning analytics for improved student learning
Summer 2022
Supervisor:
Alison Gibbs
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Machine learning application to financial news in Korean and Japanese
Summer 2022
Supervisor:
Mark Manger
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Machine learning for Automated segmentation of Confocal Images
Summer 2022
Supervisor:
Mei Zhen
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Machine learning for chronic disease management
Summer 2022
Supervisor:
Rahul Krishnan
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Mapping the Milky Way a Million Light Years
Summer 2022
Supervisor:
Ting Li
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Modeling heterogeneous covariance patterns in high-dimensional brain imaging data
Summer 2022
Supervisor:
Jun Young Park
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Neural networks for classifying capnography waveforms
Summer 2022
Supervisor:
Aaron Conway
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Phylo-genomics
Summer 2022
Supervisor:
Asher Cutter
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