Research

Data Science enables discovery and innovation in a wide range of knowledge domains in the sciences and beyond.

Domain Specific

Todd Castoe, 

Professor, Department of Biology

Genome biology, gene regulatory networks, population genomics: The Castoe laboratory studies genome biology and evolutionary genomics using integrative approaches and vertebrates and invertebrate parasites as model systems. Research in the laboratory addresses fundamental questions in genome biology and evolution including how novel gene regulatory networks arise and co-opt existing signaling pathways, how single-cell heterogeneity manifests in organism-level phenotypes, how vertebrates control regenerative growth, how multiple synergistic processes shape genome structure and function, and how synergistic evolutionary processes operating on the genome result in speciation. 

 

Jeffery Demuth, 
Associate Professor, Department of Biology

Bioinformatics: My group uses a variety of molecular and computational approaches to study the evolution of genes, genomes and organisms. Central themes of our work include genome organization, sex chromosome regulation and evolution, and behavioral genetics.  Recent efforts have been particularly focused on leveraging advances in our capacity to interrogate high-throughput single-cell data to provide unprecedented resolution into.

 

 

Kwangho Nam,

Associate Professor, Department of Chemistry and Biochemistry

Computational Biophysics: My research is centered around the field of computational biophysics, particularly in the areas of multiscale quantum/statistical mechanical simulation methodology and elucidation of the fundamental principles of enzymatic catalysis.

 

 

Yike Shen

Assistant Professor, Department of Earth and Environmental Sciences

The Shen Laboratory focuses on Environmental Health Data Science where we integrate environmental exposures, multi-omics, and health outcomes. We approach this framework through computational precision environmental health and biomarker discovery from high dimensional omics and environmental exposure data. 

 

 

Angela Liegey Dougall

Associate Professor, Department of Psychology

Health Psychology: We use data science methods to capture, clean, and integrate data from wearable sensors (e.g., Fitbits) and behavioral tasks and to perform advanced statistical analyses.

Data Science Education: We are examining student interest and motivation in learning data science to better tailor courses to include data science skills.