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Here are our participating faculty mentors and their areas of research interest. Click their names to see more about their lab and project. Some faculty mentors are not available for the 2020 program (names will be gray). Back to program home.
|PI||Area of research*|
|Plant-pathogen interactions; model system; transcriptomics; proteomics; metabolomics; molecular biology|
|Busby||Plant-microbe interactions; model system; agricultural systems; microbial ecology; microbiomes|
|Chang||Plant-microbe interactions; agricultural systems; microbial evolution; microbial ecology; genomics; molecular biology|
|David||Animal-microbe interactions; model systems; animal behavior; mental health; microbial ecology; microbiome; genomics|
|Deluc||Plant stress (environmental and pathogen); genetic engineering; agricultural systems; genomics; molecular biology|
|Fowler||Plant reproduction and development; agricultural systems; plant genetics and breeding; genomics; computer vision|
|Goyer||Improving nutritional value of crops; agricultural systems; plant-pathogen interactions; genomics; transcriptomics|
|Grunwald||Plant-pathogen interactions; agricultural and forest systems; genomics; population genomics|
|Jaiswal||Plant stress (environmental); agricultural systems; model systems; transcriptomics; data curation|
|LeBoldus||Plant-pathogen interactions; forest systems; genomics; molecular biology|
|Liston||Plant evolutionary biology; plant ecology; natural systems; genomics; genetics; population genomics|
|Megraw||Plant gene expression; model systems; transcriptomics; bioinformatics|
|Mundt||Plant-pathogen interactions; agricultural systems; epidemiology; plant molecular breeding; computational modeling|
|Myrold||Soil microbial communities; ecosystems; nitrogen cycling; microbial ecology; microbiomes; genomics|
|Nackley||Pest management, plant propagation, plant nutrition, soil science, ecology, economics, and policy|
|Naithani||Biocuration, data management, FAIR data principles, big data analytics|
|Sharpton||Animal-microbe interactions; model systems; animal health; microbial ecology; microbiomes; genomics|
|Spatafora||Fungal evolutionary biology; fungal ecology; insect-fungal interactions; genomics|
|Tyler||Plant-pathogen interactions; agricultural systems; evolution; genomics; transcriptomics|
|Vining||Plant-microbe interactions; plant molecular breeding; genomics; transcriptomics; molecular biology|
Epidemiology: the study of the incidence and spread of disease.
Genomics: study of genomes (entire set of genes in an individual).
Metabolomics: study of the metabolites that are produced at a specific time, in a specific location, or in response to a specific signal.
Microbiomes: the study of all the microbial (fungal and/or bacterial) genomes within a community (interacting group of microbes). We use short molecular barcodes called “amplicons” or we use whole genome sequences.
Plant molecular breeding: the use of DNA sequences to accelerate breeding and development of new lines of crops with desirable characteristics.
Population genomics: study of the natural variation in genomes of a population.
Proteomics: study of all proteins that are expressed at a specific time, in a specific location, or in response to a specific signal.
Transcriptomics: study of subset of genes that are expressed as RNA at a specific time, in a specific location, or in response to a specific signal.