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Organizers:
Margherita Maria Ferrari (University of Manitoba), Daniel Cruz, University of Florida
Description:
Interdisciplinary work involving mathematics and biology has effectively driven advancements in both fields through novel methods, results, and open questions. And though mathematical biology is traditionally associated with differential equations, several other areas of mathematics have been implemented to further our understanding of biology over the last few decades, including algebra, topology, and combinatorics. This session will focus on both the diversity of the areas of mathematics applied to biology and the diversity of the researchers engaged in this work. To highlight the breadth of these mathematical approaches, topics will include differential equations, graph theory, and machine learning. These approaches are applied to genomics, epidemiology, and other areas in biology. Moreover, we have invited a group of junior and senior speakers who belong to under-represented minorities in STEM in order to emphasize the diversity of researchers within the mathematical biology community.
Diversity Statement:
We have invited a group of junior and senior speakers who belong to under-represented minorities in STEM in order to promote diversity, equality, and inclusion. In particular, the invited speakers are women mathematicians at different career stages (tenured and non-tenured). By focusing on different areas of mathematical biology, we hope to initiate and facilitate interactions between researchers working in those fields, thus leading to new models and ideas applied to, and inspired by, biology.
Morgan Craig (Université de Montréal)
"Age-related differences in humoral responses after mRNA COVID-19 vaccination determine boosting strategies"
Margherita Maria Ferrari (University of Manitoba)
"Discrete models for DNA-RNA complexes"
Lila Kari (University of Waterloo)
"Machine Learning for Biodiversity Informatics"
Stacey Smith? (University of Ottawa)
"The implications of micro-host--pathogen co-evolutionary outcomes on macro-epidemics"
