ISMB/ECCB 2019 - Distinguished Keynote
Associate Professor, Biomedical Engineering and Computer Science
John Hopkins University
Baltimore, United States
Time: Tuesday, July 23, 8:30 am - 9:30 am
Room: San Francisco
Alexis Battle is an Associate Professor of Biomedical Engineering and Computer Science at Johns Hopkins University, and a 2016 Searle Scholar. Her research group focuses on understanding the impact of genetic variation on the human body, using machine learning and probabilistic methods to analyze large scale genomic data. She is interested in applications to personal genomics, genetics of gene expression, and gene networks in disease, leveraging diverse data to infer more comprehensive models of genetic effects on the cell. She earned her Ph.D. in Computer Science in 2013 from Stanford University, where she also received her Bachelor’s degree in Symbolic Systems in 2003. Alexis spent several years in industry as a manager and member of the technical staff at Google, Inc.