A mathematical biologist whose work primarily consists of the epidemiology of infectious diseases, with a recent interest in mosquito-borne infections. Drexel Professor of Mathematics and Director of the Biomathematics Graduate Program and the Research Training Group in Mathematical Biology.
A professor in mathematics at NC State University with an MS in mathematics in mathematics and computer science and a Ph.D. in applied and industrial mathematics from Roskilde University in Denmark. Conducted a variety of research publications in the dynamics of the cardiovascular, respiratory, and inflammatory systems using fluid dynamics and...
University of Maryland Director of Center for Bioinformatics and Computational Biology. Uses computational biology to understand molecular evolutionary mechanisms and genome sequencing.
Discipline director and clinical neuroscientist for Labcorp. Graduated from Duke in 2008 with a degree in Computational biology and informatics with a concentration in immunology. Former research involving HIV antigens and creating an algorithm to compute the makeup of T-cells and immunoglobulins.
Dr. Buchler's work focuses on oscillators, such as the cell cycle and metabolic rhythms. These processes act at the same time and use shared resources. Dr.Buchler studies the evolution of oscillators in gene regulatory networks. Also, the systems of biology and processes that are essential for patterning, cell proliferation, and differentiation in...
Dr. Callahan's research focuses on infectious diseases and global health issues. He uses bioinformatics in his research to navigate these problems and computationally obtain results.
Dr. Sozzani conducts research focusing on how stem cells are arranged and conserved in plants. She uses qualitative and quantitative analyses by using engineering, physics, chemistry, computer science, and molecular, developmental and cell biology. Stop by during her presentation to learn more about how biological systems can be displayed and...
Dr. Akpa focuses her research on developing quantitative models to depict biological systems. These models provide new perspective and further understanding as to what is occurring behind the biology, allowing for more informed decisions to be made when it comes to carrying out experiments.