Computational and Systems Biology Faculty
Lindsay Cowell, Ph.D.
Research Interests: Somatic diversification of antigen receptor genes; repertoire characteristics as biomarkers of immune status and disease; host-pathogen interactions
Gaudenz Danuser, Ph.D.
Research Interests: Mechanical and chemical signal integration in migration, survival, and drug response of the metastatic cell; computer vision, machine learning and mathematical modeling of complex signal transduction pathways; live cell imaging.
Tae Hyun Hwang, Ph.D.
Research Interests: Bioinformatics, computational biology, network analysis, next generation sequencing analysis, machine learning, and big data analysis
Khuloud Jaqaman, Ph.D.
Research Interests: Quantitative spatiotemporal structure-function relationships of multi-molecular assemblies; linking molecular and cellular behavior across multiple scales; computational image analysis and mathematical modeling.
Steve Jiang, Ph.D.
Research Interests: Dr. Jiang been working on the use of personal high performance computing device such as GPU to improve the efficiency and more importantly, to change the way we diagnose and treat patients in cancer radiotherapy. Particularly, he and his team have developed dozens of GPU tools allowing ultra-fast image registration and reconstruction, as well as real-time radiotherapy treatment optimization and planning. Currently, they are focused on the development of a GPU and cloud computing based next generation treatment planning system.
W. Lee Kraus, Ph.D.
Research Interests: Computational genomics. Using molecular, genetic, genomic, and computational approaches to understanding signal-regulated gene expression. Integrating data from different genomic platforms using computational approaches.
Luke Rice, Ph.D.
Research Interests: Integrating structure, kinetics, and computation to understand the molecular determinants and regulatory mechanisms of microtubule dynamics
Elliott Ross, Ph.D.
Research Interests: Cellular information processing; molecular mechanisms of G protein-mediated signaling: amplification, selectivity, response kinetics and signal integration
Guanghua Xiao, Ph.D.
Research Interests: Our lab focuses on improving treatments for cancer by applying computer science and statistical methodologies to analyzing high-throughput biological data. New models and tools are currently in development to assist the investigation of disease mechanisms and their related diagnostic innovations.
Xiaowei Zhan, Ph.D.
Research Interests: Statistical genetics, forward genetics screening, statistical computation, next-generation sequencing, genetic association studies
Dominika Borek, Ph.D.
Research Interests: Development of methods to study heteroplasmy and the somatic evolution of cancers.
Julia Kozlitina, Ph.D.
Research Interests: Statistics, statistical genetics, genetic epidemiology, genome-wide association studies.
Junmei Wang, Ph.D.
Research Interests: Molecular mechanical force field development; virtual screenings for drug lead identification; Molecular dynamics simulations of protein folding and drug delivery; and rational protein design