GuanLab achieved top performance in 2013 DREAM (Dialogue for Reverse Engineering Assessments and Methods) - breast cancer network inference challenge

Brian D. Athey, Ph.D.

Michael Savageau Collegiate Professor & Chair
Department of Computational Medicine & Bioinformatics (DCM&B)
Professor of Psychiatry and of Internal Medicine
University of Michigan Medical School
Co-Director, Michigan Institute for Data Science (MIDAS)




2017 Palmer Commons
100 Washtenaw Ave.
Ann Arbor, MI 48109-2218


Brian Athey is the Michael Savageau Professor and founding Chair of the Department of Computational Medicine and Bioinformatics in the U-M Medical School and co-director of the Michigan Institute for Data Science (MIDAS). He also has appointments as a Professor of Psychiatry and of Internal Medicine. Brian received his Ph.D. in Cell and Molecular Biology (Biophysics Concentration) at the University of Michigan in 1990, and was trained as a macromolecular structural biologist. Brian is an elected fellow of the American College of Medical Informatics (FACMI). Brian has led many well-known data intensive projects including the National Library of Medicine (NLM) Visible Human Project, the DARPA Virtual Soldier Project, and the NIH National Center for Integrative Biomedical Informatics (NCIBI). Brian is currently serving as a co-founder and Chief Science Officer (CSO) of the tranSMART Foundation. Brian is PI of one of the most-well established NIH Training Programs in Bioinformatics. Brian’s recent research interests are in the creation and use of bioinformatics pipelines and machine learning methods to radically improve the efficacy of psychiatric pharmacogenomics—allowing patients to take the most effective drug for their illness and suffer the fewest side effects. He is also developing new high-throughput methods to analyze images of genes in the context of the cellular nucleus to better understand the machinery of bioinformatics in context.

Research Area: 
High-throughput Imaging and Machine Learning of the 4D Nucleome
Integrative Biomedical Informatics
Psychiatric Pharmacoepigenomics
Visible Human Modeling