NCI Shady Grove, Joseph F. Fraumeni, Jr. Conference Room - TE-406
Jonas Almeida, Ph.D.
Professor, Department of Biomedical Informatics
and Chief Technology Officer, Stony Brook University (NY)
Montserrat García-Closas, M.D., Dr.P.H., Deputy Director, Division of Cancer Epidemiology and Genetics, NCI
As in all new fields of academic inquiry, data science starts with an identity crisis. So, what’s new about the way data science derives from computer science, biostatistics and genomic atlases? Does the deployment of interoperable data spaces, the commoditization of cloud computing, and optimized classification with machine learning fundamentally contribute to answering important questions? What about prevention, does data science even play a role in that translation? Dr. Jonas Almeida will illustrate with examples of how data science already contributes to some of these endeavors, and how it could for many others, as it matures into a quantitative framework that is both pervasive and participated. It will be argued, and illustrated with published work, that data science opens a number of novel avenues in quantitative research that are relevant for population science and cancer prevention.
For more information or to view the seminar via WEBEX, contact Ka Lai Lou.