Jaime Blair (Biology):  Research in Professor Blair's lab focuses on the use of genomic data and bioinformatics tools to understand the evolution of plant pathogens. A combination of computational and experimental approaches are used to explore evolutionary relationships among different types of plant pathogens, and to investigate the role of specific genomic elements associated with host specificity, virulence, and speciation.

Pablo Jenik (Biology): Professor Jenik researches the connections between gene regulation at several levels, cell identity, and tissue patterning during the development in the mustard weed, Arabidopsis thaliana. His work involves characterizing mutant phenotypes, finding which gene has been mutated and then, using genetic and molecular approaches, understanding how the products of those genes regulate development.

Peter Fields (Biology): Professor Fields' research interests focus on adaptations to extreme environments at the biochemical and molecular levels. Proteomics techniques are used to examine changes in protein expression levels, including two-dimensional gel electrophoresis, digital gel analysis and comparison, and protein identification via tandem mass spectrometry (HPLC-MS/MS).

Robert Jinks (Biology):  Together with doctors and geneticists at the Clinic for Special Children, Professor Jinks and his students have initiated a research program designed to characterize the cellular effects of mutations identified in several metabolic disorders of the local Plain sect (Amish and Mennonite) communities.

Jing Hu (Computer Science): Professor Hu's primary research goal is to develop and apply computationally intensive techniques such as data mining and machine learning algorithms to address challenges in understanding biological systems.  This approach involves theories and techniques from multi-disciplinary fields of computer science, statistics, biochemistry and biophysics. Professor Hu's recent research focuses on problems such as prediction of protein structures, functions and functional sites, and identification of deleterious nsSNPs.

Christina Weaver (Mathematics): Professor Weaver develops mathematical models and techniques to analyze how properties describing the shape and excitability of a neuron's dendrites interact to affect its function.  These properties vary during development, learning, aging and disease.  Professor Weaver's research aims to predict which of these properties should be changed to counteract problems that interrupt normal function.  Such predictions might one day contribute to effective therapies for many neural disorders and brain injuries.