Bio

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was 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 helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

Projects

These are some things I’m helping build.

recount | Population scale gene expression

JHU Data Science Lab | Scalable education and MOOCs

DataTrail | Mutually intensive learning to create economic opportunities

GDSCN | Faculty network to expand access to genomic data science

ITCR Training | Cancer data science resource

AnVIL | Genomic data science in the cloud

Products

These are some things I’ve helped produce.

Talks | Talks about our work

Papers | Papers about our work

Software | Software we’ve made

Data | Data resources we’ve built

Books | Books I’ve written

Guides | Guides I’ve written

Courses | Courses I’ve taught

Blog | Blog I help write

Spinoffs

These are spinoff products from our group

papr | Tinder for preprints

Streamline | Tidy data as a service

swirl | Learn R in R