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Virtual annual meeting August 17 to 20, 2020
SMB 2020Society for Mathematical Biology

Communities

Nine subgroups, one society

The Society for Mathematical Biology works through subgroups that give researchers a home for a particular set of questions. Each subgroup helped shape the 2020 program, from minisymposia and contributed talks to its own poster block.

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CDEV

Cell and Developmental Biology

Cells build tissues through decisions that are local in space and coordinated in time. This group connects imaging, measurement, and models of development, from single cell mechanics to the patterning of whole organs.

Leadership: Andreas Buttenschoen (Chair), Alexander Fletcher (Secretary)

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Session records

EDUC

Education

Teaching mathematical biology means helping students move between biological questions, mathematical structure, and computation. This group focuses on curriculum design, assessment, and inclusive classroom practice.

Leadership: Holly Gaff (Chair), Carrie Diaz Eaton (Past Chair)

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Session records

IMMU

Immunobiology and Infection

Immune responses unfold across scales, from molecular signalling inside a cell to the spread of infection through a population. This group studies host defence, inflammation, and the data that connect experiments with models.

Leadership: Angela Reynolds (Chair), Jonathan Forde (Secretary and Treasurer)

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Session records

MEPI

Mathematical Epidemiology

Infectious disease modelling asks how transmission changes under different conditions and what interventions can do. This group works on dynamics, statistics, policy, and the communication of uncertainty.

Leadership: Zhilan Feng (Chair)

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Session records

MFBM

Methods for Biological Modeling

New biological questions often demand new methods. This group develops and compares numerical, statistical, and machine learning approaches for inference, simulation, and prediction.

Leadership: Kevin Flores, Erica Rutter, and John Nardini (Chairs)

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Session records

NEUR

Mathematical Neuroscience

Neuroscience offers some of the richest dynamical problems in biology. This group works on cells, circuits, and networks using dynamical systems, computation, and data driven analysis.

Leadership: Cheng Ly and Wilten Nicola (Chairs)

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Session records

ONCO

Mathematical Oncology

Cancer evolves, adapts, and responds to treatment over time. This group builds models that connect mechanisms to clinical outcomes and uses them to reason about therapy.

Leadership: Alexander R. A. Anderson and Heiko Enderling (Chairs)

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Session records

OTHE

Other Topics

Not every contribution fits a single label. This group gathers work that crosses boundaries or opens new directions within mathematical biology.

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Session records

POPD

Population Dynamics, Ecology and Evolution

Populations change through birth, death, movement, and interaction. This group studies ecology and evolution with theoretical, computational, and empirical approaches.

Leadership: R. Christina Cobbold (Chair), James Watmough (Secretary)

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Session records

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