Alexis Battle
| Alexis Battle | |
|---|---|
in 2019 | |
| Born | |
| 🏫 Education | Stanford University |
| 💼 Occupation | geneticist |
| 👔 Employer | Google, Johns Hopkins University |
| Known for | using AI and large scale genomic data |
Alexis Battle works at Johns Hopkins University in Baltimore, Maryland. She applies artificial intelligence and large-scale genomic data to investigate how genes influence human health.
Career
Battle earned her first degree in Symbolic Systems at Stanford University in 2003 and went on to complete a doctorate in Computer Science at the same institution in 2013.[1] She worked at Google[2] before joining the faculty at Johns Hopkins University.
In 2016, she was a Searle Scholar.[3][2]
In 2022, the President of Johns Hopkins made an award of $250,000 to Sarah Hörst and the same amount to her to allow them to expand their research. Their awards were in recognition of their leading roles and that they were "on the cusp" of further success. Battle was nominated by the director of the Department of Biomedical Engineering, Michael Miller.[4] Her research uses AI and large scale genomic data to try and understand the effect of genes on the human body.[1]
References
- ↑ 1.0 1.1 Marx, Vivien (2017-07-01). "Alexis Battle". Nature Methods. 14 (7): 639–639. doi:10.1038/nmeth.4345. ISSN 1548-7105.
- ↑ 2.0 2.1 "Alexis Battle - ISMB/ECCB 2019". www.iscb.org. Retrieved 2026-04-06.
- ↑ Goodman, Billy (September 2, 1991). "Searle Scholars Biology Grants Help Lift New Faculty Members Over First Hurdles". TheScientist. Retrieved February 16, 2013.
- ↑ Published, Saralyn Cruickshank / (2022-01-26). "Alexis Battle and Sarah Hörst receive President's Frontier Awards". The Hub. Retrieved 2026-04-06.
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- Stanford University alumni
- Johns Hopkins University faculty
- American geneticists
- American women geneticists
- American women computer scientists
- American computer scientists
- Computational biologists
- American bioinformaticians
- Artificial intelligence researchers
- Searle Scholars Program recipients
- Women bioinformaticians
- Women computational biologists
- 21st-century American biologists
- 21st-century American women biologists
- Google employees
