Graduate Group in Genomics and Computational Biology

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  Name Research
Mary Regina Boland Developing novel data mining and machine learning algorithms that integrate data from Electronic Health Records, observational health data and genetics.
Susan Davidson Databases and bioinformatics
Robert Babak Faryabi

Developing cancer informatics methods such as meta-annotation of cancer causing mutations, prognostic prediction.

Casey Greene Integrative genomics methods should be easy to use and available to all.
John Holmes Development of databases and use of large claims, surveillance, and clinical record databases.
Shane Jensen Integration of biological data for regulatory network discovery
Kate Nathanson Use of the TCGA for analysis of cancer genomes
David Roos Studies in the Roos laboratory employ modern cell biological, molecular genetic, biochemical/pharmacological, immunological and genomic/bioinformatic techniques to study protozoan parasites, eukaryotic evolution, and the biology of host-pathogen interactions.
Li Shen The central theme of the Shen lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput omics data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge (e.g., pathways and networks), with applications to various complex disorders.
Christian Stoeckert Biomedical ontologies, Genomics Unified Schema (GUS) and the Strategies-WDK, EuPathDB, NIAGADS Genomics
faculty photo Li-San Wang Genetics and Genomics of Alzheimer's Disease; Non-coding RNA bioinformatics