Alexis Battle is a professor in biomedical engineering, computer science, and genetic medicine. She is the director of the Malone Center for Engineering in Healthcare, and the deputy director of the recently announced data science and AI institute.

The Battle Lab focuses on the use of machine learning and statistical methods applied to genomic data to understand the function of the human genome. We aim to uncover the impact of genetic variation on traits from cellular processes all the way to disease through computational biology and machine-learning strategies. We are particularly involved in predicting molecular effects of variants in noncoding DNA sequence, modeling variant effect on gene regulation and aggregate effects on disease risk, and developing new methods for personal genomics and rare genetic variants analysis. Our research contributes to understanding gene regulation, disease mechanism, clinical use of genomics.