The Disruptive Role of Data and AI in the Life Sciences

Title

Integrative Approaches to Single-Cell Genomics for Personalized Medicine

Bio

Dr. Keles obtained her Ph.D. in Biostatistics from the University of California at Berkeley. After a year-long postdoctoral appointment at UC Berkeley, she joined the Department of Biostatistics and Medical Informatics and the Department of Statistics at the University of Wisconsin, Madison. She has twenty years of experience in developing statistical and computational methods for genomics, including serving as an ENCODE PI, and pioneering foundational statistical models for leveraging multi-mapping reads in high throughput sequencing data analysis (ChIP-seq, Hi-C).

Her research interests span developing statistical and computational methods for denoising and signal extraction from sequencing data and modeling of high dimensional data. Her computational approaches led to fundamental contributions on how GATA factors mediate transcriptional regulation in HSPCs and erythroid cells. Dr. Keles is an elected fellow of the American Statistical Association.

Title

All the data from everywhere all at once: data integration, AI imaginaries, and their unpredictable outcomes

Bio

Klaus Hoeyer is professor of Medical Science and Technology Studies at the Centre for Medical Science and Technology Studies, University of Copenhagen. His research focuses on the links between policy, practice and experience in relations to medical research and clinical practice. In recent years, he has focused mainly on what he calls intensified data sourcing in healthcare and how it interacts with and changes the health services. This research is primarily financed by the European Research Council.