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Graduate Field of Computational Biology Faculty

Adam Bogdanove Computational genetics; Functional genomics of plant interactions with plant pathogenic bacteria; Role of TAL effects in plant disease and applications for disease control and DNA targeting, including genome editing
James Booth Statistical topics ranging from the bootstrap and Monte Carlo methods, clustering, exact inference, mixed models, generalized linear models, applications of the saddlepoint and Laplace approximations and model fitting algorithms.
Adam Boyko Computational biology; Computational genetics; Genetics of adaptation and domestication; Bioinformatics
Ilana Brito Population genetics, bacterial genomics, human microbiome, systems biology
Edward Buckler Functional genomic approaches to dissect complex traits in grasses, cassava, and wide range of other crops; focused on combining the basic science of the molecular basis of natural variation with applied breeding
Andy Clark Molecular and theoretical population genetics; molecular evolution; Drosophila evolutionary biology
Thomas Cleland Computational neuroscience, olfactory sensory processing, neural coding and representation; learning and memory systems, neuromorphic algorithms
Charles Danko Biomedical Sciences; gene regulation, functional genomic "next generation" sequencing data
Iwijn De Vlaminck Precision medicine; single-cell genomics; circulating cell-free DNA; genomic medicine
Steve Ellner Theoretical and computational population biology
Jesse Goldberg

Systems neuroscience, motor control and learning in songbirds and mice, electrophysiology, optogenetics, machine learning, brain-computer interface

Yrjo Grohn Basic metabolism in ruminants and genetics to veterinary epidemiology, economic modeling and food safety
Zhenglong Gu Computational and experimental approaches to understand the structure of metabolic networks
Alon Keinan Population Genomics, Statistical Genetics, Computational Modeling, Molecular Evolution, Evolutionary Dynamics
Amnon Koren DNA replication timing programs using applied genomic approaches, integrating experimental and computational biology
John Lis Gene expression, gene regulation, molecular biology, molecular genetics, Rna aptamers, Rna splicing, transcription
Susan McCouch Evolutionary genomics of rice
Philipp Messer Population genetics, computational evolutionary biology, evolutionary theory, genetics of rapid adaptation 
Jason Mezey Quantitative genetics/genomics; statistical genetics; computational biology; pathway modeling; molecular evolution
Gaurav Moghe

Plant biology, evolutionary genomics, computational biology, metabolomics, natural product discovery

Chris Myers Systems biology, regulatory and signaling networks, biological information processing, and dynamics of complex systems
Praveen Sethupathy microRNA; gene regulation; genomics/bioinformatics; systems genetics; liver/GI stem cells; liver/GI disease; diabetes, dyslipidemia
Patrick Sullivan Spatial and temporal statistical modeling and assessment of populations and communities
Xiaomu Wei Cancer genetics/genomics with a strong focus on the identification and functional characterization of novel predisposing mutations in human cancers.
Amy Williams Computational methods that leverage large scale genetic datasets to learn about human genetic history, evolution, and the genetic basis of human disease
Haiyuan Yu Quantitative and experimental systems biology; statistical genetics; comparative genomics; machine learning; molecular evolution; disease prognosis analysis