Mini-symposium (MS)

MS7:  Recent Developments and Applications in Computational Biology

Organizers: Shan Zhao, University of Alabama

                     Xinfeng Liu, University of South Carolina

Abstract: Due to the rapid developments of mathematical models and computational algorithms, computational biology has become a significant approach to understand the biological phenomena. This minisymposium will focus on continuous type math models including PDEs and ODEs, which help to better understand biological experiments and predict more information. A variety of biological applications at multiple scales, such as at molecular, cell and tissue levels, will be considered. Emphasis will be placed not only on mathematical theories and methods, but also on biological simulations and software developments closely integrated with experiments.

Saturday, September 18, 10:00 AM – 12:00 PM: Part I of II

Room: Libry 3033

10:00 – 10:30 Richard Bertram, Florida State University, Synchronization properties of scale-free networks of pituitary cells

10:30 – 11:00 Tian Hong, University of Tennessee, MicroRNAs govern bistable cell differentiation and lineage segregation via noncanonical feedback

11:00 – 11:30 Xinfeng Liu, University of South Carolina, Mathematical modeling, computation and experimental investigation of dynamical heterogeneity in breast cancer

11:30 – 12:00 Jin Wang, Department of Mathematics, University of Tennessee at Chattanooga, Modeling and simulating the transmission dynamics of COVID-19

Saturday, September 18, 3:30 PM – 5:30 PM: Part II of II
Room: Libry 3033

3:30 – 4:00 Paula Vasquez, University of South Carolina, Micro-macro coupling of fluid dynamics in complex fluids

4:00 – 4:30 Yi Sun, University of South Carolina, A hybrid model for simulating sprouting angiogenesis in biofabrication

4:30 – 5:00 Shan Zhao, University of Alabama, A regularization approach for biomolecular electrostatics involving singular charge sources and diffuse interfaces‚

5:00 – 5:30 Yongcheng Zhou, Colorado State University, Determination of protein-membrane interface using surface phase field with random potential