Senior Data Scientist, Greenplum, a division of EMC
Big Data Analytics at Work in Healthcare
The rapidly evolving field of medicine generates petabytes of data across disparate resources from medical claims to patient sample data. Leveraging all available data sources to improve the quality and efficiency of healthcare is paramount to controlling costs of medical care in the United States. Greenplum has been working with leaders in the field, spanning the life sciences, medical providers and prescription drug companies and distributers, to deepen the collective understanding of the healthcare system. In this session, we will review the models and insight in the healthcare system by examining the solutions and conclusions from our predictive case studies.
Sarah Aerni has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She received a Ph.D. in Biomedical Informatics from Stanford University in 2012. During her time at Stanford she developed methods incorporating machine learning and other techniques to model the cells in 3-D images of a model organism and analyze human genetic sequences. She also co-founded a start-up providing informatics services to researchers and small companies.