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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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A Climate Downscaling Workflow for Engineering and Climate Impacts Analysis: UTCDW
Summer 2023
Supervisor:
Paul Kushner
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A Comparison of Missing Data Methods for Clinical Trials
Summer 2023
Supervisor:
Kuan Liu
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Abnormal brain cell activity in a mouse model of Alzheimer’s disease
Summer 2023
Supervisor:
Kaori Takehara
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Algorithmic (Un)Fairness in Biomedical Informatics: Where are we at?
Summer 2023
Supervisor:
Jesse Gronsbell
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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 2023
Supervisor:
Joseph Jay Williams
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Analysis of sedation use according to patient race/ethnicity in mechanically ventilated patients
Summer 2023
Supervisor:
Samin Aref
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Applying Data Science Tools to Examine the Computational and Operational Principles of an Intact Neural System
Summer 2023
Supervisor:
Mei Zhen
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Automated text analysis of liberal and conservative news
Summer 2023
Supervisor:
Spike W.S. Lee
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Bridging the gap between quantum chemistry and deep learning
Summer 2023
Supervisor:
Hans-Arno Jacobsen
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Computational cancer biology opportunity in Salmena lab
Summer 2023
Supervisor:
Leonardo Salmena
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Computational models of social factors in language
Summer 2023
Supervisor:
Suzanne Stevenson
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Computer Vision to Capture Patient Flow Data in the Medical Imaging Department
Summer 2023
Supervisor:
Andrew Brown
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Coronavirus in the Urban Built Environment (CUBE): LTC Prediction Model
Summer 2023
Supervisor:
Michael Fralick
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Deciphering the chemo-genomic networks involved in telomere integrity and senescence
Summer 2023
Supervisor:
Lea Harrington
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Designing Flexible Neural Architectures for 3DV
Summer 2023
Supervisor:
Igor Gilitschenski
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Development of data science tools to query administrative database
Summer 2023
Supervisor:
Laura Rosella
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Does ectopic fat mediate the relationship between lifestyle and biological risk factors and the incidence of disease or death?
Summer 2023
Supervisor:
Amy Kirkham
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Identification of progenitor cell populations from human pluripotent stem cell derived fetal lung cells
Summer 2023
Supervisor:
Amy Wong
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Integrative Supervised Machine Leaning Model for Cancer Risk Stratification
Summer 2023
Supervisor:
Sushant Kumar
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Land market frictions in India and historical housing discrimination and zoning in North America
Summer 2023
Supervisor:
Aradhya Sood
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Learning Analytics for Improved Design of Programs of Study
Summer 2023
Supervisor:
Alison Gibbs
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Machine Learning for Healthcare
Summer 2023
Supervisor:
Rahul Krishnan
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Machine learning to facilitate quality appraisal
Summer 2023
Supervisor:
Andrea Tricco
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Map the “Rivers” on the Sky using Astronomical Datasets
Summer 2023
Supervisor:
Ting Li
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