Jeff is a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he has helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to used data science education as an economic and public health intervention.
These are some things I’m helping build.
recount | Population scale gene expression
JHU Data Science Lab | Scalable education and MOOCs
Cloud Data Science | Training for under-served communities
ITCR Training | Cancer data science resource
AnVIL | Genomic data science in the cloud