Computational and Systems Biology Faculty

Lindsay Cowell, Ph.D.
Associate Professor
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.

Nick Grishin, Ph.D.
Grishin Lab 
Research Interests: Computational biology; analysis of protein sequences and structures

Tae Hyun Hwang, Ph.D.
Assistant Professor
Hwang Lab 
Research InterestsBioinformatics, computational biology, network analysis, next generation sequencing analysis, machine learning, and big data analysis

Khuloud Jaqaman, Ph.D.
Assistant Professor
Jaqaman Lab
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. 
Jiang Lab 
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.
Kraus Lab 
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.

Zbyszek Otwinowski, Ph.D.
Otwinowski Lab
Research Interests: Development of methods to study next generation sequencing and X-ray crystallographic data

Kimberly Reynolds, Ph.D.
Assistant Professor
Reynolds Lab 
Research Interests: Statistical analysis and rational design of cellular systems

Luke Rice, Ph.D.
Assistant Professor
Rice Lab 
Research Interests: Integrating structure, kinetics, and computation to understand the molecular determinants and regulatory mechanisms of microtubule dynamics

Elliott Ross, Ph.D.
Ross Lab 
Research Interests: Cellular information processing; molecular mechanisms of G protein-mediated signaling:  amplification, selectivity, response kinetics  and signal integration  

Guanghua Xiao, Ph.D.
Associate Professor
Xiao Lab 
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.

Yang Xie, Ph.D.
Associate Professor
Xie Lab 
Research Interests: Biostatistics, bioinformatics, statistical genomics, clinical trial design, and biomarker studies.

Chao Xing, Ph.D.
Associate Professor
Xing Lab 
Research Interests:  Statistical genetics, genetic epidemiology, bioinformatics, gene mapping for complex traits.

Xiaowei Zhan, Ph.D.
Assistant Professor
Research Interests: Statistical genetics, forward genetics screening, statistical computation, next-generation sequencing, genetic association studies

Associate Members

Dominika Borek, Ph.D.
Assistant Professor
Research Interests:  Development of methods to study heteroplasmy and the somatic evolution of cancers.

Julia Kozlitina, Ph.D.
Assistant Professor
Research Interests: Statistics, statistical genetics, genetic epidemiology, genome-wide association studies.

Steven Patrie, Ph.D.
Assistant Professor 
Patrie Lab
Research Interests: Analytical, informatics, and big data methods in proteomics

Junmei Wang, Ph.D.
Assistant Professor
Wang Lab 
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