Research

Machine Learning for a better financial future. 💫

Publications

North Star
Research Areas

We focus on a set of challenging North Star research problems: Asynchronous Temporal Models, Non-Cooperative Learning in Competing Markets, and Machine Intelligence beyond Predictive ML.

Tutorials & Highlights

Academic Partnerships

Our partnerships enable us to benefit from the latest in academia and transform that knowledge into real-world impact.

Let’s SOLVE it

New and diverse perspectives, awareness of challenges specific to local communities, and commitment to making a difference are needed today more than ever. Let’s SOLVE it is an RBC Borealis mentorship program for undergraduate students on a mission to solve real problem in their communities using AI. Let’s SOLVE it together.

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Open Source Tools

AdverTorch

This toolbox provides machine learning practitioners with the ability to generate private and synthetic data samples from real world data. It currently implements 5 state of the art generative models that can generate differentially private synthetic data.

GitHub

LiteTracer

LiteTracer acts as a drop-in replacement for argparse, and it can generate unique identifiers for experiments in addition to what argparse already does. Along with a reverse lookup tool, LiteTracer can trace-back the state of a project that generated any result tagged by the identifier.

GitHub

Private Synthetic Data Generation

This toolbox provides machine learning practitioners with the ability to generate private and synthetic data samples from real world data.It currently implements 5 state of the art generative models that can generate differentially private synthetic data.

GitHub

Fellowships

Supporting academic research sits at the core of RBC Borealis. Our Fellowship program supports graduate students’ research and career goals, helping advance the science of AI.

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Internships

Research interns work with all our teams, collaborate with RBC on large-scale projects, and publish original research.

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Careers

Research creates the models that underpin new products for RBC and its 17 million clients. We embrace diversity of perspectives, tenacity, and creative thinking to fundamentally advance what is possible in Machine Learning.

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Responsible AI

Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.

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