Molecular genetics of diabetes & insulin resistance; cell biology of lipoprotein assembly and cholesterol trafficking.
Design, fabrication, and testing of novel micro fabrication techniques; microdevices and microsystems designed to facilitate advances in biology.
Multidisciplinary approaches to understand stem/progenitor cell function, blood cell development, and vascular biology.
Identification of genetic alterations in cancer cells; cancer genomics; targeted treatment strategies for breast cancer.
Statistical problems in genetics, genomics and molecular biology.
Studies how environmental factors impact metabolic regulation and requirements with relevance to cancer and immunology
Integrated analyses of epigenetic regulation of brain functions
Development and application of new technologies and instrumentation for automated, large-scale whole protein characterization.
Development and application of machine-learning methods to inferring models of, and reasoning about, networks of interactions among genes, proteins, clinmical and environmental factors, and phenotypes of interest.
Algorithms and statistical models for genomics.
Studying synthesis and activity of proteins that function in critical energy generating pathways in Rhodobacter sphaeroides.
Genetic epidemiology of Alzheimer’s Disease and Vitamin D deficiency.
Genomic and computational analyses of chromsome replication in eukaryotes.
RNA virus evolution, transmission and pathogenetics
The genomics of yeast responses to environmental stress and starvation.
Development of computational approaches to reconstruct signally pathways and transcriptional regulatory networks from multiple types of high throughput data.
Understanding diversity in microbial communities and their role in infectious disease.
Understanding of how information encoded in the genome is differentially interpreted during organismal development.
Diversity and evolution of yeast carbon metabolism networks.
Elucidating biochemical mechanisms in eukaryotic RNA metabolism with chemistry, biology, and single molecule analysis
Christina M. Hull
Molecular biology of human fungal pathogens.
Studies of synaptic mechanisms at the molecular, cellular, and circuit levels
Understanding how the genome is regulated: a gateway to understanding developmental and disease mechanisms at a molecular level
Development and application of statistical methods for gene mapping and gene expression array studies.
Systems biology, ovarian cancer, endocrine signaling.
Targeted drug discovery; analysis of complex communities of uncultured microorganisms
Analysis of evolutionary responses to catastrophic environmental change.
Chromatin dynamics influence on gene expression during mammalian development and tumorigenesis.
Biological signal processing: signal specificity; determination of in vivo kinetics; transcription factor regulation; controllability.
Microbial ecology of both natural and engineered systems
Comparative genomics of dogs and horses, investigating mechanisms that influence site-specific ligament and tendon degeneration, as well as late-onset polyneuropathy
Analysis of circulating and cell-free tumor DNA and RNA for providing insights Into tumor genomes
Developing statistical methods to address problems with the comparison of expression arrays.
Cellular engineering, intracellular signal transduction, cell and protein biosensors.
Population genetic processes that determine patterns and levels of variation throughout the genome, including natural selection, recombination, and mutations.
Analysis of cellular and developmental genetics in early vertebrate embryonic development and determination of the germ line
Force that shape evolution of human pahogens; influence of infection diseases on human evolution; effect of environment on population level patterns of infectious disease.
Genome scale comparative analysis to identify the genetic elements that distinguish one complete genome from another.
Synthetic biology, metabolic engineering, biotechnology, protein engineering, natural products.
New inference methods for population genomic sequence data; genetic basis of parallel melanic evolution in Drosophila.
Systems and synthetic biology approach to understanding and designing biology at multiple scales - proteins, microbial pathways and microbiota.
Characterization of the temporal dynamics of networks of gene interactions; longer-term goal, creation of a virtual foundry for genomic circuits.
Gut bacterial metabolism and human health; microbial cross-feeding.
Protein engineering, computational biology, high-throughput technology
Inference of structure and function of regulatory networks; Comparative analysis of expression modules across species.
Use of human stem cells together with emerging engineering methods in material science and synthetic biology to model human disease and advance personalized medicine.
Human genomics of inflammatory diseases, statistical genetics, genetic architecture of diseases
David C. Schwartz
Chemistry and biology of single molecule systems with applications to genomic sciences.
Development of an in vitro model of the Blood Brain Barrier (BBB);analysis of membrane proteome of the BBB.
Cytokinesis and cell cycle proteomics.
Development and application of novel methods and approaches for the analysis and manipulation of biomolecules.
Development of new algorithms for genomic analysis across species; analysis of human brain development and evolution
Epigenetics of cell fate change.
Rumen microbiology; herbivore-associated microbial ecology; metagenomics; biofuels.
Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana.
Evolutionary design principles of biomolecular networks and ecologies and engineering of feedback control systems.
Genetic risk for autism and other neuropsychiatric conditions, sex differences in neurobiology and risk for disease
Statistical genomics; theoretical statistics; applications in selected areas of agriculture.
Developing experimental and theoretical approaches to study growth, adaptation, and inactivation of viruses.
Developmentof machine learning approaches and bioinformatics tools to analyze multimodal data in complex brains and brain disorders