Karl Broman
Biostatistics & Medical Informatics
Developing statistical methods for analysis of complex traits
Joshua Coon
Chemistry, Biomolecular Chemistry, Morgridge Institute
Advancing mass spectrometer technology by developing instrumentation, chemistry, & informatics
Mark Craven
Biostatistics & Medical Informatics, Computer Sciences
Creating machine-learning methods for inferring networks of interacting genes, proteins, environmental variables, and phenotypes
Colin Dewey
Biostatistics & Medical Informatics, Computer Sciences
Developing statistical and algorithmic approaches for the analysis of biological sequence data
Audrey P. Gasch
Genetics, Medical Genetics, CGSI Interim Director
Elucidating systems-level relationships between genotype-phenotype-environment in eukaryotic stress responses
Chris Todd Hittinger
Genetics
The Hittinger Lab uses yeast carbon metabolism as a model for basic bioenergy, biomedical, and evolutionary research.
Sunduz Keles
Statistics, Biostatistics & Medical Informatics
Developing statistical genomic methods, especially with regard to noncoding regulatory sequences and effects of their variation
Christina Kendziorski
Biostatistics & Medical Informatics
Innovating statistical methods for the analysis of high-throughput genomics data, including bulk and single-cell transcriptomic measurements
Michael A. Newton
Statistics, Biostatistics & Medical Informatics
Developing statistics and empirical Bayes methods for contemporary biomedical applications
Srivatsan Raman
Biochemistry
Systems and synthetic biology approach to understanding and designing biology
David C. Schwartz
Chemistry, Genetics
Realizing fully integrated single-molecule systems for the understanding and fabrication of genomes
Lloyd M. Smith
Chemistry
Innovating the development of powerful new technologies to drive biological research
Michael R. Sussman
Biochemistry
Innovating massively parallel genomic technologies and applying to understand how the plasma membrane functions in all cells
Donna Werling
Genetics
Characterizing sex-differential risk mechanisms in autism and other neuropsychiatric disorders using functional genomics, human genetics and
bioinformatics approaches
