22 People Results for the Tag: Gene Frequency
Molly Hall
Dr. Frances Keesler Graham Early Career Professor; Assistant Professor of Veterinary and Biomedical Sciences
Building tools to elucidate the complex genetic and environmental underpinnings of human disease. Integrating genetic (genotype, sequence, structural variation) and exposure (derived from surveys and metabolomics methods) big data to predict disease status.
George Perry
Professor of Anthropology and Biology
Anthropological genomics, paleogenomics, human body size evolution, parasite evolution, and evolutionary medicine.
Center for Infectious Disease Dynamics
Judd Michael
Nationwide Insurance Professor of Safety & Health; Professor of Agricultural and Biological Engineering
James Marden
Associate Director of Operations, Huck Institutes of the Life Sciences; Professor of Biology
How physiological variation within species affects their ecology and evolution. Primarily with insects, but recently also with plants, and a particular interest in allelic variation in the pathogen resistance genes of tropical trees.
Center for Infectious Disease Dynamics
Jesse Lasky
Associate Professor of Biology
Ecological and evolutionary genomics, genetic and ecophysiological basis of adaptation to environmental stress, evolutionary ecology of biological complexity.
Center for Infectious Disease Dynamics
Maciej Boni
Professor of Biology
Human influenza epidemiology and evolution, evaluating population-level malaria treatment strategies with individual-based microsimulation models, phylogenetic analysis of avian influenza evolution in southern Vietnam, economic epidemiology of avian influenza, evaluating population-level efficacy of a potential dengue vaccine with mathematical models
Center for Infectious Disease Dynamics
Peter Hudson
Former Director, Huck Institutes of the Life Sciences; Willaman Professor of Biology
Population dynamics of infectious diseases in wildlife and the dynamics of parasite community structure.
Center for Infectious Disease Dynamics
Dajiang Liu
Co-Chair, Intercollege Graduate Degree Program in Bioinformatics and Genomics; Professor of Public Health Sciences and Biochemistry and Molecular Biology
Developing statistical and AI methods and experimental approaches to integrate multi-omics data with GWAS to study host x microbiome interaction, Alzheimer's diseases, smoking and drinking addiction, and lupus in diverse populations.
Stephen Schaeffer
Professor of Biology
Population Genetics and Genomics of Chromosomal Rearrangements in Drosophila
Mark Guiltinan
J. Franklin Styer Professor of Horticultural Botany; Professor of Plant Molecular Biology; Director, Endowed Program in the Molecular Biology of Cocoa
Plant functional genomics, metabolomics and biotechnology. Identification of key genes for disease resistance and important traits in the tree crop Theoboma cacao, the Chocolate tree.
Siela Maximova
Research Professor of Plant Biotechnology Co-Director, Endowed Program in the Molecular Biology of Cocoa
Molecular basis of plant-pathogen and plant-endophyte interactions. Biotechnology of tree crops. Development of sustainable energy crops.
Nigel Deighton
Director of Research Instrumentation
Oversight of Huck facility operations, strategic direction and leadership in programmatic growth, and grant opportunities
Zachary Szpiech
Assistant Professor of Biology
Population and evolutionary genetics, with applications to medical genetics, anthropology, and conservation
Lindsay Fernandez-Rhodes
Assistant Professor of Biobehavioral Health
The genetic epidemiology of complex diseases in diverse human populations and contexts.
Ilias Georgakopoulos-Soares
Assistant Professor
The development and implementation of new computational methods in genomics and molecular biology, with the aim of identifying genetic biomarkers for the diagnosis, monitoring, and treatment of human diseases, including bacterial and viral infections and of aging-associated diseases including neurodegenerative diseases and cancer.
Yogasudha Veturi
Assistant Professor of Biobehavioral Health and of Statistics
Developing novel statistical and machine learning methods to better understand shared genetics between complex human diseases across the “phenome” and their connections with cognitive decline as well as genetic underpinnings of sex and ancestral differences in cognitive decline.