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.
John Van Horn
Leroy E. Hood
Roger W. Kramer
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.
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.
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.
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.
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.
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.