The following are investigators who are involved in Systems Biology research:

Director - Christina Chan
Apply system biology approaches to reconstruct signaling and gene regulatory pathways to help elucidate disease mechanisms and identify pharmaceutical targets.

Co-director - Tim Zacharewski
Toxicogenomic analysis of receptor-mediated toxicants and the elucidation of mechanisms of toxicity that support the development and safety assessments of drug candidates and commerce chemicals

Co-Director - David Arnosti
Our research on the structure of eukaryotic transcriptional regulatory elements seeks to identify key parameters of a "cis regulatory grammar" that will be used to build quantitative models of enhancer output, for use in bioinformatic, evolutionary, and QTL studies.

James V. Beck
Apply inverse problem techniques to modeling physical phenomena and estimating parameters/functions in engineering and sciences, including biological sciences.

C. Titus Brown
Developmental gene regulation and gene regulatory network models, large scale/genomic data integration and analysis.

Yuehua Cui
Statistical models and algorithms for complex traits, QTL and eQTL mapping, gene-gene and gene-environment interactions, and genomic imprinting; functional mapping for longitudinal/dynamic traits; microarray and CHIP-chip data analysis

R.I. Cukier
Studies of enzyme structure-function relations probed by Molecular Dynamics and Quantum Chemical based methods.

Sarat Dass
Develop statistical models and their inference procedures with application to problems in image analysis and biology.

Erik Goodman
Develop evolutionary computation approaches to address data mining and pattern classification issues in bioinformatics and product/process design.

Syed Hashsham
Parallel detection tools, environmental genomics, and modeling of molecular data

Robert P. Hausinger
Applications of systems biology related to microbial physiology involving transition metal utilization.

Marianne Huebner
Statistical issues in genetics; microarrays; complex traits; biological networks. Mathematical ecology.

Rong Jin
Develop efficient and robust machine learning algorithms for large datasets with application to information retrieval, multimedia data analysis, and gene regulatory network reconstruction.

A. Daniel Jones
Development and application of mass spectrometry approaches for metabolite profiling and metabolomic analysis in the study of disease and environmental stress.

Ken Keegstra
Chloroplast protein targeting; systems approaches to biosynthesis of cell wall polysaccharides and biomass accumulation.

Leslie Kuhn
Modeling protein flexibility and interactions with ligands; optimizing protein and inhibitor modeling and design.

Robert Last
Functional genomics approaches to attain a systems biology understanding of chloroplast function.

Richard Lenski
Using systems biology approaches to analyze and integrate data on phenotypic and genomic changes during evolution experiments with bacteria and digital organisms

Jeff MacKeigan
The primary focus of the Systems Biology laboratory is aimed at identifying and understanding the genes and signaling pathways that control cell survival, specifically those that when mutated contribute to the pathophysiology of cancer. Our laboratory takes advantage of RNA interference (RNAi) and novel proteomic approaches to identify the kinases and phosphatases in the genome that control cell growth, cell proliferation, and cell survival. For example, after screening over 600 kinases and 200 phosphatases encoded by the human genome (called the “kinome” and “phosphatome”) that cooperate with chemotherapeutic sensitization in control of apoptosis, we identified 73 kinases (11%) and 72 phosphatases (32%) whose role in cell survival was previously unrecognized. These studies led to several unanswered questions. How are these novel survival kinases and phosphatases regulated at the molecular level? What signaling pathway(s) do they regulate? Does incubation of these genes inhibit waves of compensatory changes at the cellular level (system level changes)? What are the system level changes after reduction or loss of each gene?

Terence L. Marsh
Application of genomic approaches in the analysis of microbial community and population structure as well as the interaction of microbes with metals.

Charles Ofria
Applying computational evolving systems as a tool to study the formation of phylogenies and the evolution of biocomplexity.

John Ohlrogge
The lab uses biochemistry, genetics and modeling to understand lipid and fatty acid biosynthesis, metabolic engineering, genomics, regulation of metabolism, seed oil accumulation.

Karim Oweiss, Ph.D.
Apply advanced signal and information processing techniques for data mining and pattern analysis to decode gene expressions and identify signaling correlations among functionally interdependent genomic networks.

Bob Roth
Understanding occurrence and mechanisms of drug-inflammation interactions as they relate to hepatotoxic drug reactions, especially drug idiosyncrasy.

Thomas Schmidt
Research uses approaches of systems biology to understand distribution of microbial populations in nature, and to reveal the ecological strategies of microbes.

Yair Shachar-Hill
Laboratory and mathematical approaches to understanding the arbuscular mycorrhizal symbiosis, non-photosynthetic one carbon metabolism, metabolic engineering.

Alexander Shingleton
Department of Zoology

Shin-Han Shiu
We examine genome sequences and functional genomics data the evolution of duplicated genes and regulatory networks in eukaryotes.

Mike Thomashow
Our research is directed at determining the nature and interactions of regulatory networks that contribute to plant cold and drought tolerance in Arabidopsis and agronomic crop species.

Jim Tiedje
The research theme of Dr. Tiedje' laboratory is to understand the ecology, physiology and biochemistry of microbial processes important in nature and of value to industry.

Eric Torng
Design and analysis of algorithms.

Lalita Upda
Application of system identification and pattern analysis algorithms for modeling gene expression data in terms of signalling pathways and cellular response to environmental factors.

S. Patrick Walton
Expertise in biomolecular engineering for nucleic acid applications; Developing novel high-throughput platforms for cellular analysis; Studying the mechanistic details of and optimizing siRNA activity and specificity

R. Mark Worden
Application of systems biology approaches to optimize expression of recombinant proteins in computer-controlled bioreactors.

Neil Wright
Parameter estimation in heat transfer, thermodynamics, and kinetics as applied to biological materials and systems.

Vincent B. Young MD/PhD
Molecular pathogenesis and microbial ecology of gastrointestinal infectious diseases.

Department of Epidemiology