Upcoming Schedule: Today
Shuttle to MBI
|09:00 AM |
|10:00 AM |
Welcome Overview and Introduction
|10:30 AM |
Eberhard Voit - Dynamic Models of Malaria
Malaria is a complex disease that afflicts 200 million individuals worldwide and causes about 500,000 deaths per year. It is transmitted by Anopheles mosquitoes and caused by one of several Plasmodium species, which have a complicated life cycle that is distributed between the mosquito and the human host. The molecular events, host-pathogen interactions, physiological host responses, and the global reach of the disease create a truly multi-scale system. I will present five vignettes describing mathematical models of molecular and cellular events during malaria infections in non-human primates, which offer excellent models of the human disease processes. Three vignettes will focus on different aspects related to the dynamics of red blood cells and reticulocytes, whose disappearance is the dominant driver of malarial anemia, one of the most severe hallmarks of the disease. The other two vignettes will demonstrate how insights into the meaning of transcriptomic changes during the disease can be gained through models of concomitant processes at the metabolic and physiological levels.
This work is joint work with Luis L. Fonseca and Anuj Gupta.
|11:15 AM |
Caleb Bastian - Transition Dynamics Convey Key Programs in Cellular Populations
The epithelial-mesenchymal transition (EMT) is a key cellular program of growth and development and of mature cells, such as wound healing. Evidence for its role in pathology, such as cancer invasion, has been accumulating following from intensive study, yet little is known about the dynamics of the transition per se. Using a multidisciplinary approach, this talk explores the dynamics of the transition and its role in conveying distinct gene programs. The global spatiotemporal distribution of metastatic (dysregulatory) burden is found to be critically sensitive to key non-linear dynamics.
|12:00 PM |
|02:30 PM |
Neda Bagheri - Hybrid models predict emergent dynamics of multiscale cell populations
Computational models are essential tools that can be used to simultaneously explain and guide biological intuition. With increasingly high-resolution, high-throughput, and dynamic experimental data, computational biologists are better equipped to develop informed models that to characterize complex cellular responses and direct experimental design. I introduce an agent-based model as an intuitive, modular, and flexible framework to study emergence of heterogeneous cell populations. We use this framework to interrogate the inherent multiscale nature of cells—reinforcing how “the whole is greater than the sum of its parts”—and to predict cell population dynamics from the composition of simpler biological modules. Elucidating the compositionality problem is fundamental to advancing our understanding of basic science; to promoting the impact of synthetic biology; and to designing precise dynamic therapeutic strategies.
|03:15 PM |
Todd Parsons - The population genentics of pathogen virulence
Life history theory provides a powerful framework to understand the evolution of pathogens in both epidemic and endemic situations. This framework, however, relies on the assumption that pathogen populations are very large and that one can neglect the effects of demographic stochasticity. In my talk, I will present an alternative approach, based in population genetics, which will explore the effects of finite population size on the evolution of pathogen virulence and transmission. I will show that demographic stochasticity introduces additional evolutionary forces that can affect qualitatively the dynamics and the evolutionary outcome. In particular, I will discuss scenarios where finite population size can either select for lower or higher virulence.
|04:00 PM |
|05:00 PM |
Reception and Poster session in MBI Lounge
The effectiveness of improved sanitation, antibiotics, and vaccination programs created a confidence in the 1960s that infectious diseases would soon be eliminated. As a result, chronic diseases such as cardiovascular disease and cancer started to receive more attention in the United States and industrialized...
Best and Calder Appointed Co-Directors of MBI
Christopher Hadad, College of Arts and Sciences Divisional Dean for Research and the Natural and Mathematical Sciences at The Ohio State University, appointed Professor Janet Best, Department of Mathematics, and Professor Catherine (Kate) Calder, Department of Statistics, co-directors of the MBI with a term ending on May 31, 2020.