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OTHE-12
Emerging areas in Mathematical Biology: Celebrating research from the Mathematical Biosciences Institute

Organizers:
Veronica Ciocanel (Duke University), Hye-Won Kang, University of Maryland Baltimore County
Description:
This minisymposium aims to highlight recent advances in emerging areas and novel mathematical approaches for addressing biological questions. The sessions will cover a broad spectrum of themes that integrate data-driven mathematical modeling and real-world applications. Topics covered include advances in stochastic and continuum modeling of molecular and regulatory mechanisms in cells, network dynamics in infectious disease and ecological systems, and data-driven methods for sleep homeostasis and disorders. These sessions will also celebrate the impactful mathematical biology research of former Mathematical Biosciences Institute (MBI) postdocs and visitors whose career was influenced by their time and connections made while at the MBI.
Diversity Statement:
We carefully selected speakers to ensure diversity in gender, geographical location, career stage, and research interests. Both co-organizers are women. Among our twelve invited speakers, ten are from the U.S., one is from Asia, and one is from South America. The lineup also includes four women researchers. This event aims to foster inclusive discussions and encourage collaborations across diverse areas of expertise related to new techniques for data-driven modeling.
Scott McKinley (Tulane University)
"Microtubule Polarity Dynamics in Dendrites"
Pete Kramer (Rensselaer Polytechnic Institute)
"Molecular Mechanisms in Actively Driven Passively Crosslinked Microtubule Pairs"
Yangyang Wang (Brandeis University)
"A conceptual framework for modeling a latching mechanism for cell cycle regulation"
Wenrui Hao (Pennsylvania State University)
"A Systematic Computational Framework for Practical Identifiability Analysis"
Grzegorz Rempala (The Ohio State University)
"Modeling Epidemics on Networks"
Paul Hurtado (University of Nevada, Reno)
"SIER-type ODE models with phase-type latent and infectious period distributions"
Deena Schmidt (University of Nevada, Reno)
"Modeling network formation in ecological systems."
Katarzyna (Kasia) Rejniak (Moffitt Cancer Center)
"Data-driven models for guiding adoptive cell therapies in bladder cancer"
