Modelling Microtube Driven Invasion of Glioma Malignant gliomas are highly invasive brain tumors. Recent attention has focused on their capacity for network-driven invasion, whereby mitotic events can be followed by the migration of nuclei along long thin cellular protrusions, termed tumour microtubes (TM). Here I develop a mathematical model that describes this microtube-driven invasion of …
Modeling the effects of Aedes aegypti's larval environment on population and disease spread Mosquitoes vector harmful pathogens that infect millions of people every year, and developing approaches to effectively control mosquitoes is a topic of great interest. However, the success of many control measures is highly dependent upon ecological, physiological, and life history traits of …
Modeling Mesenchymal Cell Motion - Force, Speed and the Role of Focal Adhesion Lifetimes In this talk I will present a force based mathematical model of mesenchymal cell motion where adhesion sites are randomly placed and have a probabilistically determined lifespan. Numerical simulations and theoretical results will be discussed and compared to experimental data. The …
Tumor Composition and the Host Environment on Cancer Treatment Strategies The one-size-fits-all approach is not effective at treating cancer and tumor heterogeneity plays an important role in patient response. Current dogma characterizes tumor heterogeneity resulting from compounding genetic and epigenetic changes and instability, ultimately driving unfavorable outcomes for these patients. However, some cancers, including many …
Estimating the Long-term Behavior of Biologically Inspired Agent-based Models An agent-based model (ABM) is a computational model in which the local interactions of autonomous agents with each other and with their environment give rise to global properties within a given domain. The use of ABMs in biology has become widespread over the last few years …
Challenges and Opportunities for Translational Research: The Power of Data Integration With increased regulatory burden and high expectations from prescribers and patients, it is no longer cost- nor time-effective to tackle all open questions experimentally. As a result, an increasing number of decisions is informed by modeling and simulation approaches, which integrate all available knowledge …
Optimizing Biofilm Removal Bacterial biofilms are consortia of bacteria enmeshed in a self-produced polymer network. Biofilms occur in a wide variety of settings and impact health, water quality, manufacturing, and other fundamental aspects of modern life. This talk will cover several aspects of biofilms that are fundamental in order to remove biofilms when they have …
Mathematical modeling of diabetes Diabetes is the leading endocrine disease affecting socioeconomic development and has multiple pathogenic pathways. Type 2 diabetes (T2D) is the most common type of diabetes primarily caused by obesity and a lack of exercise. Secondary diabetes is a subtype of diabetes including glucose metabolism disorders correlated with various hormonal diseases. Mathematical …
Modeling of Drosophila Egg Chamber: Chemical Distribution, Force Balance, and Clustered Cell Migration The Drosophila melanogaster egg chamber provides an accessible biological model for clustered cell dynamics in development, metastasis, and even wound healing. Our modeling covers various stages of egg chamber development from chemical signals initiating a cell fate decision in becoming motile to …
Dynamics of a linearly-perturbed May-Leonard competition model The May-Leonard model was introduced to examine the behavior of three competing populations where rich dynamics, such as limit cycles and nonperiodic cyclic solutions, arise. In this talk, we will discuss an extended May-Leonard model, where the system is perturbed by adding the capability of global mutations, allowing …
