Wu and Zhang Professor of Biomedical Engineering and Computer Science

Alexis Battle is the Wu and Zhang Professor of Biomedical Engineering and Computer Science at Johns Hopkins University. She serves as the Director for the Malone Center for Engineering in Healthcare and the Director of Research for Strategy and Partnerships of the Data Science and AI institute. Her research group uses machine learning to analyze large scale genomic and health data to understand how genetic variation affects the human body. They have made contributions to understanding how individual genetic differences interact with environmental risk factors, temporal processes, and cell type to influence gene regulation and disease risk. 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. Before joining Johns Hopkins, Alexis spent several years in industry as a software engineer and engineering manager at Google. Alexis has received awards including the 2022 JHU President’s Frontier Award, and was named a 2016 Searle Scholar and a 2020 Microsoft Investigator Fellow.