Stephanie C. Hicks

Stephanie C. Hicks is an Associate Professor in the Department of Biostatistics at the Bloomberg School of Public Health, Johns Hopkins University. Her work bridges statistics, data science, and genomics, with a strong emphasis on developing computational tools for modern biological data.

Research Interests:

• Statistical methods for genomics and single-cell data
• Missing data imputation and uncertainty quantification
• Spatial transcriptomics and multi-assay data integration
• Open-source software development for reproducible research
• Functional and epigenomic analysis

Her recent research, as reflected in publications from 2025, centers on benchmarking cellular deconvolution methods, integrating spatial transcriptomics across individuals, and developing combinatorial approaches for marker gene selection. These works span high-impact journals in genomics, bioinformatics, and computational biology, indicating a strong and active research program in statistical genomics and computational biology.

Scientific Contributions:

• Development of the HuBMAPR R package for accessing the HuBMAP data portal
• Leadership in benchmarking studies for cellular deconvolution
• Advancing methods for label-free marker gene identification
• Addressing reproducibility and integration challenges in spatial omics

Dr. Hicks mentors students and contributes to graduate education in biostatistics, emphasizing statistical programming and workflows. She is actively involved in the development of open-source tools that enhance reproducibility and accessibility in genomic research.