The Big Data for Discovery Science Center (BDDS) - comprised of leading experts in biomedical imaging, genetics, proteomics, and computer science - is taking an "-ome to home" approach toward streamlining big data management, aggregation, manipulation, integration, and the modeling of biological systems across spatial and temporal scales.


Our Big Data for Discovery Science (BDDS) Center is comprised of leading scientists from systems biology, neuroscience, and computer science to design and develop new tools for Big Data with an obsessive focus on the user’s experience with big data. Our BDDS investigators are based at the Institute of Neuroimaging and Informatics and the Information Sciences Institute both of the University of Southern California in addition to the Institute for Systems Biology in Seattle, Washington, and the Computation Institute of the University of Chicago.

Members of our BDDS Center have been responsible for countless multisite programs on large-scale data collection and analysis and have a unique perspective on the requirements for big data research and the potential it has for rapidly advancing new scientific knowledge.

USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (LONI), Los Angeles

Arthur Toga

Kristi Clark

John Van Horn

Karen Crawford
Database Manager

Scott Neu
Software Developer

Naveen Ashish
Computer Scientist

Judy Pa
Biomedical Scientist

Joseph Ames
Project Manager

USC Information Sciences Institute

Carl Kesselman

Mike D'Arcy
Computer Scientist

University of Chicago, Argonne National Laboratory, Computation Institute

Ian Foster

Kyle Chard
Computer Scientist

Ravi Madduri
Computer Scientist

Rachana Ananthakrishnan
Computer Scientist

Jack Kordas
Computer Scientist

Jim Pruyne
Computer Scientist

Alex Rodriguez
Biomedical Informatics

Dave Shifflett
Computer Scientist

Institute for Systems Biology, Seattle

Leroy E. Hood
Consortium PI

Nathan Price

Eric Deutsch

Gustavo Glusman

Benjamin Heavner
Research Scientist

Roger W. Kramer
Bioinformatics Scientist

David Campbell
Software Engineer

Statistics Online Computational Resource, University of Michigan

Ivo Dinov
Site PI

Big Data for Discovery Science Scientific Advisory Board

Gaudenz Danuser
UT Southwestern Medical Center
Dallas, TX

Patrick E. Haggerty Distinguished Chair in Basic Biomedical Science. His research interests include machine learning of cancer cell dynamics, integrated mathematical modeling of signal transduction and morphogenesis in cancer cells, live cell imaging of biomimetic models of cancer metastasis and the roles and regulation of cell morphogenesis in metastatic migration, survival, and drug response.

Richard Frackowiak
Human Brain Project
Lausanne, Switzerland

Co-Director. His research interests include functional and structural architecture of the human brain in health and disease, the organization of human brain functions and the plasticity and mechanisms for functional recuperation after brain injury and the patho-physiology of cerebral neurodegenerations.

Alison Goate
Mt. Siani Hospital
New York, NY

Professor of neurology, neuroscience, genetics and genomic sciences. Her research interests include dementia (Alzheimer's disease & frontotemporal dementia) and addiction (alcohol dependence). In each of these areas of research, the goal is to better understand the molecular basis of disease in order to identify novel targets for therapeutic development.

Carole Goble
University of Manchester
Manchester, UK

Professor of Computer Science. She established and co-directs myGrid, a sub-group of Information Management Group, which focuses on data intensive e-Science. The group’s work ranges from theory to practice, translating state of the art techniques in semantic web, distributed computing, data management and social computing into software and resources widely used by scientists from many different communities.

Ed Lazowska
University of Washington
Seattle, WA

Bill & Melinda Gates Chair in Computer Science & Engineering. His research interests include the advancement of technologies of data-intensive discovery. He is the founding director of the eScience Institute, whose technical emphasis is on data management, data visualization, data mining, machine learning and cloud computing.

Andrey Rzhetsky
University of Chicago
Chicago, IL

Professor of Medicine and Human Genetics.  His research interests include understanding how phenotypes, such as human healthy diversity and maladies, are implemented at the level of genes and networks of interacting molecules. He is also interested in the development of bioinformatics strategies to map complex disease genes.