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Research at the Intersection of Mathematics, Biology and Fluid Mechanics

We develop sophisticated mathematical tools to explore and solve complex problems in fluids and biological systems.

Mathematical Approach to Fluids & Life Sciences

At Ryerson University’s Biomathematics and Fluids Group, we’re known for the breadth and variety of our research, with one common theme tying us together: a deep interest in applying mathematical techniques to the study of fluids and biology.

While life scientists take a lab-based experimental approach to testing theories and hypotheses, our group uses mathematical models and numeric computations to test theories, untangle complex interactions, and help improve understanding of fluid and biological system behaviours. Our theoretical research is the foundation that makes future scientific applications and innovation possible.
 

Our Research Areas

Fluids, biology, and health research drive our research questions, but mathematics generates the answers. Much of our work involves the use of differential equations. This mathematical framework makes it possible for us to study complex subject matter in a way that’s not always possible in living or real-world systems. This approach underlies all of our research areas, including:  

  • Computational Biology
  • Blood Flow
  • Stochastic Biochemical Systems
  • Interfacial Instabilities in Liquid Films
  • Mathematical Oncology and Immunology
  • Neuroscience
  • Body Mechanics
     

Meet Our Members

Our group is comprised of six professors from the Department of Mathematics, each with their own area of expertise. As a collective, diversity is our strength, as we offer a high degree of flexibility and a wide range of options to those who join our research efforts. Our supervising professors include:

Dr. Suzan Farhang Sardroodi

"It can be amazing to construct a model with relatively simple math that enables monitoring the complex physiological processes; How they are connected and how disruptions of these processes may result in the most deadly diseases in the world! It is even more astonishing when the model simulates and predicts novel therapies!"

Suzan Farhang Sardroodi, Post-doctoral Fellow

Seminars & Events