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Copy file name to clipboardExpand all lines: index.Rmd
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## Bio
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Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the [Fred Hutchinson Cancer Center](https://www.fredhutch.org/). Previously, he was a professor of [Biostatistics](https://www.jhsph.edu/departments/biostatistics/) and [Oncology](https://www.rits.onc.jhmi.edu/dbb/) at the [Johns Hopkins Bloomberg School of Public Health](https://www.jhsph.edu/) and co-director of the [Johns Hopkins Data Science Lab](https://jhudatascience.org/). His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data.
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Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the [Fred Hutchinson Cancer Center](https://www.fredhutch.org/). The theme of Jeff's work is to "build things to help people". Currently his major areas of focus are:
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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](https://magazine.jhsph.edu/2019/data-science-careers-baltimores-underserved-community-members). As Chief Data Officer at Fred Hutch he has focused on [creating a robust and coordinated data ecosystem](https://ocdo.fredhutch.org/) for all members of the Fred Hutch community and beyond.
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- The [Cancer AI Alliance](https://www.canceralliance.ai/) | a national alliance to build a federated AI cancer laboratory
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- The [Fred Hutch Data Science Lab](https://hutchdatascience.org/)/[Fred Hutch Office of the Chief Data Officer](https://ocdo.fredhutch.org/) | The Data Office function supporting the data ecosystem at Fred Hutch
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-[Synthesize Bio](https://www.synthesize.bio/) | The generative genomics company building AI models to perform biomedical experiments.
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- Leading a research group at [Fred Hutchinson Cancer Center](https://www.fredhutch.org/en/faculty-lab-directory/leek-jeff.html)
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He is a Fellow of the American Statistical Association and a recipient of the [Mortimer Spiegelman Award](https://spiegelmanaward.github.io/) and [Committee of Presidents of Statistical Societies Presidential Award](https://en.wikipedia.org/wiki/COPSS_Presidents%27_Award).
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Previously, as the co-director of the Johns Hopkins Data Science Lab, he worked on
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- The JHU Data Science Specialization | [Massive online open courses](https://www.coursera.org/specializations/jhu-data-science/) that have taught more than 10 million people data science and AI skills
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- Datatrail | A community-based data science education for [economic and public health development](https://magazine.jhsph.edu/2019/data-science-careers-baltimores-underserved-community-members).
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- The Genomic Data Science Community Network | A faculty network to [expand access to genomic data science](http://www.gdscn.org/)
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- The ITCR Training Network | A training network to help people learn to use cancer informatics tools [ITCR Training](https://www.itcrtraining.org/)
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-[Blackbird Laboratories](https://blackbirdlab.org/) | Next generation life science accelerator in Baltimore
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-[swirl](https://swirlstats.com/)** | Software to learn R in R
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## Projects
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These are some things I'm helping build.
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**[recount](https://jhubiostatistics.shinyapps.io/recount/)** | Population scale gene expression
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**[Fred Hutch Data Science Lab](https://ocdo.fredhutch.org/)** | Building a coordinated data ecosystem for Fred Hutch
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**[GDSCN](http://www.gdscn.org/)** | Faculty network to expand access to genomic data science
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**[ITCR Training](https://www.itcrtraining.org/)** | Cancer data science resource
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**[AnVIL](https://anvilproject.org/)** | Genomic data science in the cloud
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**[Synthesize Bio](https://www.synthesize.bio/)** | Generative gene expression with AI
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**[Cancer AI Alliance](https://www.canceralliance.ai/)** | National scale federated learning for cancer ([support CAIA](https://secure.fredhutch.org/site/TR?px=2244315&fr_id=2142&pg=personal)).
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## Things I Have Helped Build Before
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**[DataTrail](https://www.datatrail.org/)** | Mutually intensive learning to create economic opportunities
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**[JHU Data Science Lab](https://jhudatascience.org/)** | Scalable education and MOOCs
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**[Blackbird Laboratories](https://blackbirdlab.org/)** | Next generation life science accelerator in
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He is a Fellow of the American Statistical Association and a recipient of the [Mortimer Spiegelman Award](https://spiegelmanaward.github.io/), [Committee of Presidents of Statistical Societies Presidential Award](https://en.wikipedia.org/wiki/COPSS_Presidents%27_Award) and was named to the [Time AI 100](https://time.com/collections/time100-ai-2025/7305795/jeff-leek/).
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## Products
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These are some things I've helped produce.
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These are products of our various efforts to help people make sense of biomedical data.
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**[Talks](https://jtleek.com/talks)** | Talks about our work
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**[Blog](https://simplystatistics.org/)** | Blog I help write
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## Spinoffs
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These are spinoff products from our group
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**[papr](http://www.papr.io/)** | Tinder for preprints
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**[Streamline](https://streamlinedatascience.io/)** | Tidy data as a service
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**[swirl](https://swirlstats.com/)** | Learn R in R
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