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. As Chief Data Officer at Fred Hutch he has focused on creating a robust and coordinated data ecosystem for all members of the Fred Hutch community and beyond.
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
Fred Hutch Data Science Lab | Building a coordinated data ecosystem for Fred Hutch
GDSCN | Faculty network to expand access to genomic data science
ITCR Training | Cancer data science resource
AnVIL | Genomic data science in the cloud
Synthesize Bio | Generative gene expression with AI
Cancer AI Alliance | National scale federated learning for cancer (support CAIA).
Things I Have Helped Build Before
DataTrail | Mutually intensive learning to create economic opportunities
JHU Data Science Lab | Scalable education and MOOCs
Blackbird Laboratories | Next generation life science accelerator in
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