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Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement CEO Update
Vector Institute awards 100 scholarships to Ontario’s top...
Kylie Williams · 2026-05-12 · via Vector Institute for Artificial Intelligence
  • 100 recipients will receive a $17,500 merit-based scholarship from the Vector Institute for the 2026-27 academic year;
  • Now in its ninth year, the Vector Scholarship in Artificial Intelligence has supported more than more than 900 students at Ontario universities since 2018; and
  • Ontario universities have surpassed the provincial goal of 1,000 AI master’s graduates annually for the fifth consecutive year.

TORONTO, May 12, 2026 – Today, the Vector Institute awarded scholarships to 100 exceptional graduate students pursuing studies across Ontario. The merit-based, $17,500 Vector Scholarship in Artificial Intelligence (VSAI) supports top candidates enrolled in Vector-recognized master’s programs or pursuing individualized AI study paths at universities across the province.

In total, the 2026-27 cohort received $1.75 million in scholarship funding.

“We’re proud to support 100 exceptional students this year with $17,500 scholarships, but the real value of the Vector Scholarship in AI is the powerful ecosystem they join. From day one, recipients are connected to mentors, peers, and industry leaders who help transform them from graduate students into the researchers, entrepreneurs, and practitioners who will define the next decade of AI in this province,” said Melissa Judd, Vice President, Research Operations and Academic Partnerships, Vector Institute.

Every AI-related job in Ontario generates an average of $199,000 in annual economic value. The talent coming through programs like the VSAI is a significant part of how that value gets created and stays in the province.

This year’s recipients come from programs spanning computer science, engineering, health informatics, data science, and business, reflecting the reach of AI research in Ontario and the breadth of sectors where these graduates will build their careers. Some will pursue research and academic paths; others will join the more than 3,200 Vector-affiliated students from AI master’s programs who have been hired in industry roles at Ontario companies and organizations since 2019.

Among previous recipients is Yixiu (Helen) He, a master’s student in biomedical engineering at Western University. Working in the Advanced Pulmonary Imaging Lab at Robarts Research Institute, she develops machine learning tools that analyze lung imaging data to help predict how individual asthma patients will respond to treatment.

“Machine learning really allows for personalized health care,” Helen said. “These models can analyze thousands of pixel-by-pixel comparisons at once to reveal hidden patterns in a tiny fraction of the time it would take a person to do the same by hand.”

“The Vector Scholarship in AI made it possible for me to fully commit to interdisciplinary research at the intersection of machine learning and pulmonary medicine. As an international student, the financial support removed a significant barrier, and the networking opportunities Vector provides have helped me connect with industry partners and researchers across Canada. It gave me the foundation and the confidence to dive into work I truly believe can change how we detect and treat lung disease.”

“Our province’s universities are home to world-class researchers and innovators that are unlocking the potential of Ontario’s booming AI research sector. We commend Vector Institute’s Scholarship in Artificial Intelligence which will ensure our province’s brightest graduates can keep Ontario on the cutting edge of innovation.”  Said Nolan Quinn, Minister of Colleges, Universities, Research Excellence, and Security.

2026-27 scholarship recipients will attend 13 universities across Ontario. Vector now recognizes 30 AI master’s programs at Ontario universities, welcoming over 1,000 successful AI master’s graduates for five consecutive years, a milestone that reflects the sustained strength of Ontario’s AI research and training ecosystem.

This year’s scholarship program was supported by the Ministry of Economic Development, Job Creation and Trade. The 2027-28 scholarship nomination dates will be announced in Fall 2026.

Universities of Vector’s 2026-2027 scholarship recipients

Carleton University Logo

Carleton University

Master of Computer Science

Yu, Benjamin

Master of Computer Science – Collaborative Specialization in Data Science

Mak, Ngai Chung (Josiah)

MCS in Data Science, Analytics, and Artificial Intelligence

Du, Feng

McMaster University logo

McMaster University

MEng in Computing and Software

Chen, Haokun

MSc in Computer Science

Banik, Shreya Adrita

MSc in Computer Science

Ziyaei Razban, Arash

Ontario Tech University logo

Ontario Tech University

Master of Business Analytics and AI

Rezaq, Azmeeri Binte

Master of IT Security

Muchomba, Stanley

MSc in Computer Science

Oluyele, Sunday (Anthony)

Queen's University Logo

Queen’s University

MASc in Electrical and Computer Engineering – Field of Study in AI

Gryspeerdt, Hendrix

MASc in Electrical and Computer Engineering – Field of Study in AI

Villemure, Sophie

MASc in Electrical and Computer Engineering – Field of Study in AI

Logan, Stuart

MASc in Mechanical and Materials Engineering

Farvolden, Coleman

Masters in Biomedical Informatics

Sanjeev, Sohan

MSc in Computing

Pirie, Matthew

MSc in Computing – Field of Study in AI

Elkind, Emese

Smith School of Business at Queen's univeristy logo

Queen’s University, Smith School of Business

Master of Management of AI

Mughees, Lyba

Toronto Metropolitan University logo

Toronto Metropolitan University

MSc in Data Science and Analytics

Patel, Princy

University of Guelph Logo

University of Guelph

MSc in Computer Science – Collaborative Specialization in AI

Gill, Yuvraj Singh

University of Ottawa logo

University of Ottawa

MEng in Electrical and Computer Engineering – Applied AI Concentration

Marwa, Muskaan

MSc in Computer Science – Applied AI Concentration

Niu, Fengquan

University of Toronto Logo

University of Toronto

MASc in Aerospace and Robotics Engineering

Thiyagarajan, Nikhil

MASc in Aerospace and Robotics Engineering

Yang, Tony

MASc in Electrical and Computer Engineering

Hung, Nathan

Master of Health Informatics

Tan, Adrienna

Master of Health Informatics

Dixon, James Andrew

Master of Health Informatics

Singh, Krishnpriya (Krishnu)

Master of Health Informatics

Rabie, Sarah

MSc in Applied Computing

Chan, Amanda

MSc in Applied Computing

Sridhar, Arut Prakash

MSc in Applied Computing

Sivathayalan, Ashok

MSc in Applied Computing

Shahane, Atharva Nikhil (Atharva Shahane)

MSc in Applied Computing

Wang, Cynthia

MSc in Applied Computing

Ding, Haochen

MSc in Applied Computing

Zhong, Jingwen

MSc in Applied Computing

Quan, Junwei

MSc in Applied Computing

Chen, Kevin

MSc in Applied Computing

Reji, Sneha Ann

MSc in Applied Computing

Suresh, Soundarya

MSc in Applied Computing

Cirstoiu, Teodor (Teo)

MSc in Applied Computing

Pang, Tianlei

MSc in Applied Computing

Wang, Wanqi (Hazel)

MSc in Applied Computing

Tang, Yi Lin (Owen)

MSc in Computer Science

Liu, Hannah

MSc in Computer Science

Bolic, Natasa

MSc in Computer Science

Meng, Taiheng (Tylor)

MSc in Health Systems Research – Emphasis in Health Systems AI

Ravindran, Mithunan

Rotman School of Management logo

University of Toronto, Rotman School of Management

Master of Management Analytics

Emo, Jack

Master of Management Analytics

Sikder, Tashfia

Master of Management Analytics

Gao, Yumo

University of Waterloo Logo

University of Waterloo

MASc in Biomedical Engineering

Kanji, Salim

MASc in Electrical and Computer Engineering

Abolhassani Zeraatkar, Amirhossein

MASc in Electrical and Computer Engineering

Abolhadizadeh, Hiva

MASc in Electrical and Computer Engineering

Deng, Mingyue

MASc in Systems Design Engineering

Carciente, David

Master of Data Science and AI

Raja, Ramprakash

Master of Data Science and AI

Song, Rui

Master of Data Science and AI

Ingale, Sarvesh

Master of Data Science and AI

Zhang, Shukun

University of Windsor Logo

University of Windsor

MSc in Computer Science

Encina Osorio, Isaac

Western University logo

Western University

MESc in Biomedical Engineering – Collaborative Specialization in Machine Learning in Health and Biomedical Sciences

Ashmawy, Judy

MESc in Electrical and Computer Engineering – Collaborative Specialization in AI

Hodge, Samantha

MSc in Computer Science – Collaborative Specialization in AI

Terpstra, Hunter

York University Logo

York University

MASc in Computer Engineering

Elsaidy, Romisaa

MSc in Computer Science

Jafari, Amir Mohammad

MSc in Computer Science – Specialization in AI

Gupta, Harshit

schulich-school-of-business-480x0-c-default

York University, Schulich School of Business

Master of Business Analytics

Chaudhary, Mitali

Master of Management in AI

Qiu, Fu Yao (Fuyao Q)

Master of Management in AI

Levy, Maxwell (Max)

*Please note not all recipients have granted us permission to post their names on the Vector website until they have enrolled full-time in their programs. As such, their names will not appear in the above table until their enrollment is confirmed.