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Anna Lawniczak is a full professor in the Department of Mathematics and Statistics at the University of Guelph, a position she has held since 1989. She has an extensive research background in mathematical modeling, especially in the application of statistical and machine learning techniques to complex systems. Lawniczak's research has involved the development of multi-agent simulation systems and lattice gas cellular automata for modeling reactive systems. Her recent work focuses on cognitive agents capable of learning in dynamically changing environments, particularly in the context of epidemic modeling during the COVID-19 pandemic. Apart from her position at Guelph, she has held various roles, including visiting positions at Los Alamos National Laboratory and the Fields Institute, and has worked as a principal investigator at the Energenius Centre for Advanced Nanotechnology. Throughout her career, she has been recognized with numerous awards, including the Theoretical Award for her work on complex adaptive systems and has received multiple NSERC Discovery Grants. Lawniczak is also an active member of various professional societies, contributing to the field of applied mathematics as a fellow of the Engineering Institute of Canada and a senior member of IEEE.
University of Guelph • Guelph, ON, Canada
Full professor in the Department of Mathematics and Statistics, engaged in research and teaching.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).