At the forefront of innovation, where technology meets real-world impact, stands a group of brilliant minds shaping the future. RBC Borealis is proud to introduce the latest cohort of exceptional PhD students selected for our esteemed Fellowships Program.
Our 2023-2024 Fellowships have been awarded to ten outstanding researchers from across the country. These Fellows are not just students, they are visionaries, researchers, and problem-solvers dedicated to advancing the boundaries of machine learning (ML) and artificial intelligence (AI). They represent the brightest talent from Canada’s universities, and we couldn’t be prouder to support their journeys and share their stories with you.
The RBC Borealis Fellowships Program is designed to provide exceptional doctoral students with the financial backing they need to focus deeply on their research and transform their ideas into realities that can reshape our understanding of technology and its role in society.
By empowering young talented scholars to make meaningful contributions in the fields of Artificial intelligence and Machine Learning, RBC Borealis invests in the future of AI. With such exceptional talent leading the way, the future of AI has never looked stronger.
Director of Research Partnerships at RBC Borealis.
Meet the 2023-2024 RBC Borealis Fellows and learn about their research:
Alireza Mousavi-Hosseini
Faculty: Dr. Murat A. Erdogdu
Research topic: Deep Learning Theory, Statistical Learning Theory
Gwendolyne Legate
Faculty: Dr. Eugene Belilovsky and Dr. Irina Rish
Research topic: Algorithms Optimizing Communication in Federated Learning
Bonaventure F. P. Dossou
Faculty: Dr. Jackie Cheung
Research topic: Resource-Efficient Active Learning Algorithms and Techniques for African Natural Language Processing
Nourhan Bayasi
Faculty: Dr. Rafeef Garbi
Research topic: Learning Continually Under Changing Data Distributions
Daniel Ajisafe
Faculty: Dr. Kwaang Moo Yi, Dr. Rhodin Helge and Dr. Tagliasacchi Andrea
Research topic: Investigating the Controllability of Video Diffusion Models Towards Later Application to Human Modeling
Sokhna Diarra Mbacke
Faculty: Dr. Pascal Germain
Research topic: Statistical guarantees for deep generative models
Mohammed Adnan
Faculty: Dr. Yani Ioannou and Dr. Rahul Krishnan
Research topic: Efficient ML and Sparse Neural Networks
Thulani Hewavithana
Faculty: Dr. Lingling Jin and Dr. Isobel Parkin
Research topic: Dynamic Modeling of Polyploid Plant Genomes: Integrating 3D Architecture and Environmental Adaptation
Tianwei Ni
Faculty: Dr. Pierre-Luc Bacon
Research topic: Reinforcement Learning and Representation Learning with Partial Observability
Xinyu Yuan
Faculty: Dr. Jian Tang
Research topic: The Realm of Representation Learning for Biological Data; Harnessing AI’s Potential to Advance Understanding of Biological Systems and Processes.
About the RBC Borealis Fellowships
These fellowships are part of RBC Borealis’s commitment to support Canadian academic excellence in AI and Machine Learning. The program offers financial support to exceptional domestic and international graduate students pursuing their PhDs in different AI fields for fundamental research. This initiative is part of RBC Borealis’s effort to strengthen the partnership between academia and industry and elevate Canada’s leadership in the AI space.
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