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Ulam Colloquium: Joel Cohen (Columbia University and Rockefeller University)

Variance functions and Taylor's law of fluctuation scaling The variance function of a family of nonnegative random variables (rvs) gives the variance of each rv as a function of its mean, assuming each rv has finite mean and finite variance. Variance functions were invented to assist statistical analyses of agricultural experiments. They have since (under

Maia Martcheva (UF Mathematics)

368 Little Hall

Coinfection dynamics of heroin transmission and HIV infection in a single population We propose a coinfection model of heroin abuse and HIV infection, to describe the joint spread through a single population. The unique disease-free equilibrium always exists and it is stable only if the basic reproduction numbers of heroin abuse and HIV infection are

Southeast Center for Mathematics and Biology 2020 Annual Symposium

Georgia Institute of Technology Atlanta, GA

The SCMB Annual Symposium is a forum to exchange ideas between the broader mathematics and biosystems communities. There will be plenary talks from mathematicians and biologists, organized in complementary pairs, as well as a a public lecture. These will be offered at a colloquium level of detail with an emphasis on engaging the full range of mathematical and biological researchers. A poster

Math Dept Colloquium: Chris Bauch (University of Waterloo, Applied Mathematics)

339 Little Hall (The Atrium)

Modelling interactions between disease dynamics and human social dynamics The interplay between disease dynamics and vaccinating behaviour driven by social processes has been receiving increasing attention from mathematical modellers, due to vaccine refusal and other behavioural phenomena. Vaccine scares could become more common as eradication goals are approached for more vaccine-preventable diseases, on account of

Rhonda Bacher (UF Biostatistics)

368 Little Hall

Trendy: Segmented regression analysis of gene expression dynamics High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns. Identifying dynamic changes at both the individual gene and whole transcriptome level can provide important insights about genes, pathways, and critical time points.