Our Talent Showcase features emerging talent in data science and AI alongside researchers and industry leaders driving the future of AI, machine learning, and data science. Whether you’re scouting top-tier talent, exploring partnership opportunities, or curious about what’s next in data science and AI, this is where ideas meet action.
Vice President, Enterprise AI, Technology and Data, Hydro One
Dr. Carter Cousineau is a global technology executive with a track record of leading enterprise AI, data and digital transformation.
Currently at Hydro One, enterprise-wide accountability for all enterprise applications, systems integration, ERP, data, AI, CRMs, digital channels, customer and employee experience at one of Canada’s largest electricity transmission and distribution providers. Her career spans global executive roles at Thomson Reuters, where she led a 250+ person organization, consistently combining technical depth with enterprise-scale execution and engaged often with customers and regulators.
Known for building high-performing teams and scaling AI adoption across large, complex organizations, she holds a Doctorate (PhD) in Computational Sciences and a Master’s in Engineering and Technology Practice, and has been recognized with the Global Technology Leadership Award and CDO Magazine’s Global Data Power Women x2 honor.
Vice President, Enterprise AI, Technology and Data, Hydro One
Dr. Carter Cousineau is a global technology executive with a track record of leading enterprise AI, data and digital transformation.
Currently at Hydro One, enterprise-wide accountability for all enterprise applications, systems integration, ERP, data, AI, CRMs, digital channels, customer and employee experience at one of Canada’s largest electricity transmission and distribution providers. Her career spans global executive roles at Thomson Reuters, where she led a 250+ person organization, consistently combining technical depth with enterprise-scale execution and engaged often with customers and regulators.
Known for building high-performing teams and scaling AI adoption across large, complex organizations, she holds a Doctorate (PhD) in Computational Sciences and a Master’s in Engineering and Technology Practice, and has been recognized with the Global Technology Leadership Award and CDO Magazine’s Global Data Power Women x2 honor.
SUDS Scholars, DSI Trainees, and DSI, Schmidt and CANSSI Fellows, as well as U of T Masters students with a DSI-funded Supervisor are encouraged to showcase their research at the Talent Showcase
Submit your posterInterested in featuring your company?
Contact partnerships.dsi@utoronto.ca
Inessa De Angelis: Using GitHub Actions for Computational Communication Research
Supervisor: Rohan Alexander, Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto
Michael Cowan: Canadian Federal Government Procurement and Election Timing
Supervisor: Rohan Alexander, Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto
Luissa Vahedi: When Data and Governance Meet: Exploring the Promises and Perils of State Fragility Metrics
Supervisor: Carmen Logie, Factor-Inwentash, Faculty of Social Work, University of Toronto
Mairead Heiger: Decoding Dwarf Galaxy Chemical Evolution with DLEIY
Supervisor: Joshua Speagle, Department of Statistical Sciences
Nolan Koblischke: Semantic searching astronomical images with vision-language model captions
Supervisor: Jo Bovy, David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto
Isabelle Laing: DOROTHY: Stellar Catalogue for 12 Million DESI Milky Way Stars Derived Using a Machine Learning Pipeline
Supervisor: Joshua Speagle, Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto
Alexandros Pratsos: Characterizing Stellar Streams With Graph Neural Networks
Supervisor: Ting Li, David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto
Hongbo Chen: Detecting stigmatizing language in electronic health records utilizing in-context learning
Supervisor: Eldon Cohen, Mechanical & Industrial Engineering, University of Toronto
Ana Elisa Lopez-Miranda: Prompting the Professoriate: How LLMs Are Affecting Statistics and Data Science Pedagogy
Supervisor: Rohan Alexander, Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto
Evelyn Hughes: Autonomous end-to-end data analysis with LLMs
Supervisor: Rohan Alexander, Department of Statistical Sciences, Faculty of Arts & Science, University of Toronto
Sangwook Kim: Treat: A Unified Text-Guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
Supervisor: Chris McIntosh, Department of Medical Biophysics, Faculty of Medicine, University of Toronto
Nolan Koblischke: Semantic searching astronomical images with vision-language model captions
Supervisor: Jo Bovy, David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto
Ramaravind Kommiya Mothilal: Reinterpreting Reasoning-like Behavior of LLMs for AI Safety
Supervisor: Shion Guha, Faculty of Information, University of Toronto
Aida Ramezani: The discordance between embedded ethics and cultural inference in large language models
Supervisor: Yang Xu, Department of Computer Science, Faculty of Arts & Science, University of Toronto
Farzan Taj: OmniPert: A Deep Learning Foundation Model for Predicting Responses to Genetic and Chemical Perturbations in Single Cancer Cells
Supervisor: Lincoln Stein, Department of Molecular Genomics, University of Toronto
Nakul Upadhya: Empowering Decision Trees via Shape Function Branching
Supervisor: Eldon Cohen, Mechanical & Industrial Engineering, University of Toronto
Hongbo Chen: Detecting stigmatizing language in electronic health records utilizing in-context learning
Supervisor: Eldon Cohen, Mechanical & Industrial Engineering, University of Toronto
Chaoran Dong: Estimating the Economic Impact of Reducing Geographical Disparities in Pediatric Cancer Care
Supervisor: Petros Pechlivanoglou, The Hospital for Sick Children
Xinyang (Sean) Feng: Dynamic Prediction Using Joint Models of Two Longitudinal Biomarkers and Clustered Survival Data with Application to Periodontitis
Supervisor: Aya Mitani, Dalla Lana School of Public Health, University of Toronto
Kin Fung Li: Data-enabled modelling and control for patient-specific leukemia treatment
Supervisor: Margaret Chapman, The Edward S. Rogers Sr. Department of Electrical & Computer Engineering
Noor Khan: Examining the Impact of PM2.5 Exposure on Breast Cancer Risk among BRCA Carriers in Canada
Supervisor: Joanne Kotsopoulos, Women’s College Hospital Research Institute
Sangwook Kim: Treat: A Unified Text-Guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning
Supervisor: Chris McIntosh, Department of Medical Biophysics, Faculty of Medicine, University of Toronto
Yixiong Sun: Amyloidosis disrupts experience-driven restructuring of hippocampal CA1 neuronal ensembles
Supervisor: Kaori Takehara-Nishiuchi, Department of Psychology, Faculty of Arts & Science, University of Toronto
Laura Thery: Opioid Use and Toxicity in Patients with Solid Cancers: Insights from an Ontario Population-Level Cohort Study
Supervisor: Jenny Lau, Princess Margaret Hospital
Joanna Wang: Predicting Mature Oocyte Yield with Follicular Output Rate (FORT) in Assisted Reproductive Technology (ART)
Supervisor: Nigel Pereira, Mount Sinai Fertility
Joanna Wang: Predicting Mature Oocyte Yield with Follicular Output Rate (FORT) in Assisted Reproductive Technology (ART)
Supervisor: Nigel Pereira, Mount Sinai Fertility
Noor Khan: Examining the Impact of PM2.5 Exposure on Breast Cancer Risk among BRCA Carriers in Canada
Supervisor: Joanne Kotsopoulos, Women’s College Hospital Research Institute
Sooyeon Kim: Forest Management and Wildfire Insurability: Modelling Asset Losses in Ontario’s WUI Communities
Supervisor: Rasoul Yousefpour, John H. Daniels Faculty of Architecture, University of Toronto
Showcasing posters from DSI Fellows, undergraduates and trainees in the following areas:
Our Talent Showcase features emerging talent in data science and AI alongside researchers and industry leaders driving the future of AI, machine learning, and data science. Whether you’re scouting top-tier talent, exploring partnership opportunities, or curious about what’s next in data science and AI, this is where ideas meet action.
Vice President, Enterprise AI, Technology and Data, Hydro One
Dr. Carter Cousineau is a global technology executive with a track record of leading enterprise AI, data and digital transformation.
Currently at Hydro One, enterprise-wide accountability for all enterprise applications, systems integration, ERP, data, AI, CRMs, digital channels, customer and employee experience at one of Canada’s largest electricity transmission and distribution providers. Her career spans global executive roles at Thomson Reuters, where she led a 250+ person organization, consistently combining technical depth with enterprise-scale execution and engaged often with customers and regulators.
Known for building high-performing teams and scaling AI adoption across large, complex organizations, she holds a Doctorate (PhD) in Computational Sciences and a Master’s in Engineering and Technology Practice, and has been recognized with the Global Technology Leadership Award and CDO Magazine’s Global Data Power Women x2 honor.
Vice President, Enterprise AI, Technology and Data, Hydro One
Dr. Carter Cousineau is a global technology executive with a track record of leading enterprise AI, data and digital transformation.
Currently at Hydro One, enterprise-wide accountability for all enterprise applications, systems integration, ERP, data, AI, CRMs, digital channels, customer and employee experience at one of Canada’s largest electricity transmission and distribution providers. Her career spans global executive roles at Thomson Reuters, where she led a 250+ person organization, consistently combining technical depth with enterprise-scale execution and engaged often with customers and regulators.
Known for building high-performing teams and scaling AI adoption across large, complex organizations, she holds a Doctorate (PhD) in Computational Sciences and a Master’s in Engineering and Technology Practice, and has been recognized with the Global Technology Leadership Award and CDO Magazine’s Global Data Power Women x2 honor.
Registration for our 2027 Talent Showcase is now open
January 27, 2027
700 University Ave, Toronto
