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Research Areas & Groups

In the Department of Mathematics, our research ranges from laying theoretical foundations to working directly on real-world applications. Some of our faculty have collaborated with industry partners, governmental agencies and research institutes such as the Fields Institute for Research in Mathematical Sciences. We work under three main groups, within which current research areas include:

  • Biomathematics and biostatistics
  • Complex networks and graph theory
  • Computer security and cryptography
  • Data mining
  • Differential equations and operator theory
  • Financial mathematics
  • Fluid mechanics
  • Foundations of statistical mechanics
  • Machine Learning
  • Software Testing

Biomathematics and Fluids Group

Illustration of interconnected webs over the globe.

Our research team is currently focusing on applying mathematical techniques to the study of fluids, biology, medicine and health. We develop mathematical models and numeric computations within a range of specialties, including:

  • Blood flow
  • Oncology and immunology
  • Body mechanics
  • Interfacial instability in liquid films
  • Computational biology
  • Stochastic dynamics

Learn more about the team and our research. Visit our Biomathematics and Fluids Research Group website.

Financial Mathematics Research Group

Financial chart hologram with abstract background. Double exposure. Concept of market analysis

As one of the first schools to develop finance-specific degree programs, Ryerson University also hosts one of Canada’s largest research groups in financial mathematics. We use mathematical tools to develop and calibrate mathematical models for financial transactions, and also explore emerging, cutting-edge areas in the field, including:

  • FinTech, machine learning and blockchain
  • Environmental finance and climate change risk
  • Derivative pricing
  • Portfolio optimization

Meet our team and explore our research. Visit our Financial Mathematics Research Group website.

Graphs at Ryerson

Graph representation of the similarity relationships derived from the database of Last.fm.

Graphs @ Ryerson (G@R) works in both pure and applied graph theory. Our research focuses on a variety of topics, such as modelling complex networks, searching networks, combinatorial designs, infinite graphs, and random graphs.

  • Industrial mathematics
  • Optimization
  • Graph searching and complex networks
  • Design theory
  • Model theory
  • Computational geometry
  • Probabilistic methods

For more information about the team, our research projects and upcoming seminars, visit our Graphs at Ryerson website.

RAMLab

RAMLab is our state-of-the-art laboratory. It is equipped for developing mathematical models and numerical methods for applications in science and engineering. RAMLab encourages multidisciplinary exchanges with the scientific community at large, and is also an important component in training students and research assistants from various programs.