Associate Professor of Biomedical Engineering and Biostatistics at Johns Hopkins University
Stephanie Hicks is an applied statistician working at the intersection of genomics and biomedical data science.
She leads a research lab who develops computational methods using statistics and machine learning for the analysis of high-throughput genomics experiments. The lab has considerable expertise in the analysis of single-cell and spatial omics. Recent work ranges from developing scalable algorithms and deep learning models for genomic data, to examining how alternative splicing and RNA modifications change across aging and development, to understanding the molecular mechanisms of neuropsychiatric and neurodegenerative disorders.
She is also a co-host of the The Corresponding Author podcast, member of the Editorial Board for Genome Biology, an Associate Editor for Reproducibility at the Journal of the American Statistical Association, and co-founder of R-Ladies Baltimore.
JHU Affiliations
- Associate Professor, Biomedical Engineering
- Associate Professor, Biostatistics
- Deputy Director of Educational Programs, Data Science and AI Institute
- Faculty member, Kavli Neuroscience Discovery Institute
- Faculty member, Malone Center for Engineering in Healthcare
- Faculty member, Center for Imaging Science
- Faculty member, Center for Computational Biology
- Faculty member, Johns Hopkins Data Science Lab
- Preceptor, Department of Genetic Medicine
- Preceptor, Department of Biochemistry and Molecular Biology
Educational training
Stephanie received her B.S. in Mathematics from LSU and her M.A. and Ph.D. from the Department of Statistics at Rice University under the direction of Marek Kimmel and Sharon Plon (@splon).
She completed her postdoctoral training with Rafael Irizarry (@rafalab) in the Department of Data Science at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health.
Awards
Selected awards include the Teaching in the Health Sciences Young Investigator Award, the Myrto Lefkopoulou Distinguished Lectureship, and the COPSS Emerging Leader Award from the American Statistical Association (ASA), arguably the statistical profession’s most prestigious award for early career leaders in Statistics and Data Science. Most recently, she was elected as an ASA Fellow in 2025 and an AIMBE Fellow in 2026.
Github contributions last year
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