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.
Her research addresses computational challenges in single-cell genomics, epigenomics, and spatial transcriptomics leading to an improved understanding of human health and disease. Specifically, she develops computational methods using statistics and machine learning. She implements these methods in open-source software for the analysis of biomedical data.
Her research philosophy is problem-forward: she develops computational methods and software that are motivated by concrete problems, often with real-world, messy data. This philosophy permeates into her contributions to statistics and data science education, and service to the profession including being an advocate for diversity, equity, and inclusion.
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
- 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
She was selected for the Teaching in the Health Sciences Young Investigator Award and the COPSS Emerging Leader Award (formerly known as the COPSS Leadership Academy 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 awarded the Myrto Lefkopoulou Distinguished Lectureship in 2023 from the Harvard T. H. Chan School of Public Health.
Github contributions last year
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