معرفی
Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering, Computer Science, and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute. Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google.
Research Focus: Battle’s work bridges genomics and machine learning, emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis, personalized genomics, and systems biology, with applications in cardiovascular disease and neurodegenerative disorders.
Publications & Awards: Over 60 peer-reviewed articles in journals like Nature, Science, and Genome Biology, with recent emphasis on single-cell transcriptomics, multiomics integration, and telomere biology. Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016).
Scientific Awards:
- 2022 President’s Frontier Award
- 2019 Microsoft Investigator Fellowship
- 2019 Johns Hopkins Discovery Award
- 2017 Johns Hopkins Catalyst Award
- 2016 Searle Scholar
Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium, focusing on gene regulation and clinical genomics.
