Borealis AI is proud to announce our summer’s cohort of Machine Learning Researcher interns and Engineering Co-op students. These inquisitive student minds will help the researchers and engineers at Borealis AI to develop cutting-edge AI models and solutions that aim to shape the future of finance. Borealis AI teams will help these students develop the skills they need to become tomorrow’s AI leaders. And together, we will contribute to Canada’s AI ecosystem and talent pipeline growth.
The Borealis AI Research Internship Program gives graduate students an opportunity to spend the term working on a wide variety of theoretical and applied machine learning projects. The Engineering Co-op program students will help drive a project from end-to-end, working on everything from data pre-processing to implementing machine learning algorithms and front-end development.
“Canada’s universities and AI research institutes are training some of the brightest minds in our field today. Our goal is to help them grow into Canada’s future AI leaders by providing them with the support, tools, capabilities and encouragement they need to develop their skills and build experience. What makes this particularly exciting for them and for Borealis AI is that these are real-life business challenges they will be helping to solve,”
Greg Mori
Senior Director, Research at Borealis AI
The Borealis AI 2023 research interns and engineering co-ops represent a diverse cross-section of Canada’s research talent. The list includes interns and co-op engineers from eight different Canadian universities and a wide cross-section of degree programs and studies. They are also diverse in their experience, interests and fields of research. Their interests include everything from Computer Vision and Geometric Deep Learning through to Medical Imaging and Ultrasound-Based Cancer Detection.
“At Borealis AI, our focus is on contributing to an AI ecosystem of the future — a diverse and inclusive community whose work truly improves people’s lives. The Borealis AI Internships and Co-Op Engineering placements – alongside Borealis AI programs like Let’s Solve it, the Borealis Fellowships and other Borealis AI student programs – provide us with valuable new ideas and capabilities while giving students a unique opportunity to grow and develop their skills and talent,”
Dr. Eirene Seiradaki
Director of Research Partnerships at Borealis AI
The Borealis AI 2023 Machine Learning Researcher Interns are:
Wonho Bae
Borealis AI 2023 Research Intern
Degree program: Computer Science; PhD
Research topic: Meta-Learning and Active Learning
Qi Yan
Borealis AI 2023 Research Intern
Degree program: Department of Electrical and Computer Engineering; PhD
Research topic: Deep Generative Model, Self-Driving
Photograph of Leo Feng
Leo Feng
Borealis AI 2023 Research Intern
Degree program: Département d’Informatique et de Recherche Opérationnelle; PhD
Research topic: Meta-Learning and Uncertainty Estimation
Sepidehsadat Hossein
Borealis AI 2023 Research Intern
Degree program: School of Computing Science; PhD
Research topic: Computer Vision and Geometric Deep Learning
Xiangyu (Shawn) Sun
Borealis AI 2023 Research Intern
Degree program: School of Computing Science; PhD
Research topic: Causal Discovery
Somjit Nath
Borealis AI 2023 Research Intern
Degree program: Département de Génie Logiciel et Des Technologies de l’information; PhD
Research topic: Learning Generalizable Representations
Mahdi Gilany
Borealis AI 2023 Research Intern
Degree program: School of Computing; PhD
Research topic: Medical Imaging and Ultrasound Based Cancer Detection
The Borealis AI 2023 Engineering Co-op Engineers are:
Matias Chomali
Borealis AI 2023 Engineering Co-op
Degree program: Computer Science, BSc
Guy Morgenshtern
Borealis AI 2023 Engineering Co-op
Degree program: Software Engineering, BEng
Wenqi Su
Borealis AI 2023 Engineering Co-op
Degree program: Computer Science and Statistics, BSc
Prithee Roy Ballave
Borealis AI 2023 Engineering Co-op
Degree program: Computer Science, BSc
Sarah Yi Xu
Borealis AI 2023 Engineering Co-op
Degree program: Computer Science, Cognitive Science; Honors, BSc
“Programs like the Borealis AI Internships and Co-op Engineering placements help Canada’s young talent expand their experience and enhance their university education by working on real-life business challenges alongside a team of people who care deeply about their success and progress. At the same time, it also allows them to get their hands on some very cool AI data sets, tools, GPUs, and resources. For a curious young researcher or engineer, it’s not a bad way to spend the summer,” added Greg Mori, Senior Director, Research.
About Borealis AI
Borealis AI is an AI and Machine Learning Research Institute backed by the Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team members across its four labs in Canada.
Student Opportunities!
Research interns work with all our teams, collaborate with RBC on large-scale projects, and publish original research and our Engineering team runs a Co-op program where Machine Learning Software Engineers are involved in projects end to end. Both programs are open for Fall 2023 applications.
Learn more