Allan Willms

Headshot of Allan Willms
Associate Professor
Department of Mathematics and Statistics
Email: 
awillms@uoguelph.ca
Phone number: 
(519) 824-4120 ext. 52736
Office: 
MACN 512
Available positions for grads/undergrads/postdoctoral fellows: 
Yes

Education and Employment Background

Dr. Allan Willms received his PhD from Cornell University in 1997. In 1997, he worked as a Visiting Scientist at Cornell University, and between 1998 and 2003, he was a Lecturer at the University of Canterbury in Christchurch New Zealand. Willms joined the Department of Mathematics and Statistics at the University of Guelph in 2003 where he is now a Professor.


Research Themes

Willms’s research is centered around dynamical systems models of biological or other processes.  It is weighted toward the applied end of the mathematics spectrum, often concerned with implementation details and issues of making the mathematics accessible to biologists and engineers. Key areas of recent focus include:

  1. Simple models of climate change. Climate models range from simple equilibrium balance models, to large and complex general circulation models. Each has their place in informing us of the drivers in climate change and expected outcomes. We focus on smaller models that capture the primary features with substantial accuracy yet allow for analysis of cause and effect. We have applied these models to paleoclimate transitions as well as the present day using carbon dioxide level predicted by the International Panel on Climate Change. Our models predict an irreversible bifurcation in the Arctic from the present cold climate to a warm temperate one if CO2 emissions are not reduced.
  2. Parameter range reduction for ODE models. Willms and his graduate students have introduced a novel  method of parameter estimation for ODE models. The process involves discretizing the ODE with certain linear multi-step formulas and then using the data and these formulas to remove regions of parameter space that are inconsistent. The result is a collection of boxes in parameter space wherein the optimal solution must lie. The method is a fast and efficient means of obtaining a good starting parameter estimate for traditional point-based estimation schemes. 
  3. Bifurcation with symmetry. Together with William Langford and Petko Kitanov, Willms studies the effects of symmetry, particularly the symmetry of identical oscillators, on the normal forms of bifurcations in such systems. This has been applied to the question of symmetry first observed by Christiaan Huygens.
  4. Mathematical Biology. Willms has an ongoing collaboration with the virology lab of Dr. Byram Bridle in the Department of Pathobiology. Willms and his students mathematically model some of the fundamental biological processes occurring when there is viral infection.

Highlights

We have completely analyzed, using bifurcation theory, the advent of oscillations in systems of two identical clocks. This work explains why Christiaan Huygens noted only anti-phase synchrony in his famous observations in 1665, and indicates how the physical setup must be altered in order to observe in-phase, mixed mode, or other more exotic behaviours. Allan R. Willms, Petko M. Kitanov, William F. Langford, 2017. Huygens' Clocks Revisted, R. Soc. Open Sci. 4 (170777), doi=10.1098/rsos.170777.

Paleoclimate history shows the presence of rapid climate changes, for example the Pliocene paradox, when the Arctic changed from a warm temperate climate to a cold climate that has continued to the present, despite very little change in the forcing factors. By incorporating water vapor feedback, ice albedo feedback, and carbon dioxide levels in a simple energy balance model we were able to postulate an explanation for the Pliocene paradox:

The system was in one of two stable equilibria but slow change in the system parameters caused a saddle-node bifurcation resulting in the disappearance of the warm equilibrium and driving the system rapidly to the cold one. Brady Dortmans, William F. Langford, Allan R. Willms, 2019. An Energy Balance Model for Paleoclimate Transitions, Climate of the Past 15 (2), pp. 493-520, doi=10.5194/cp-15-493-2019.

  • Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant, 2004, 2010, 2015, 2020
  • Editor, Biosystems, 2014-present
  • Editor, International Journal of Applied Nonlinear Science, 2012-2016

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