Jeff Leek
Vice President, Chief Data Officer, And Professor
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inR Data Science and Visualization
Jeff Leek is a data-driven leader and academic with 14 years of experience at the intersection of statistics, genomics, and large-scale data science, currently serving as Vice President and Chief Data Officer at Fred Hutch while also co-leading Synthesize Bio. A professor by training (Ph.D. in Biostatistics, University of Washington) and a long-time Johns Hopkins faculty alumnus, he blends rigorous research in biostatistics and machine learning with practical product and course development. He has co-founded multiple data-focused startups and consultancies, bringing entrepreneurial instincts to operationalize analytics in healthcare and biology. An active educator and open-source contributor, Jeff helped develop the widely used Data Science Specialization course materials on Coursera, contributing lecture design and pedagogical tooling that reflect his emphasis on clear data representation and reproducible analysis. Colleagues know him for translating complex experimental-design and genomics problems into teachable, production-ready solutions that scale.
14 years of coding experience
14 years of employment as a software developer
Ph.D., Biostatistics, Ph.D., Biostatistics at University of Washington
Github Skills (15)
html10
data-visualizations10
css10
statistics10
javascript10
data-visualisation10
data-visualization10
web-development10
data-science10
experimental-design10
r10
statistical-inference10
datatable9
caret9
data-analysis6
Programming languages (8)
Github contributions (5)
DataScienceSpecialization/courses
Jan 2014 - May 2015
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Role in this project:
Front-end Developer
Front-end DeveloperContributions:44 commits, 1 branch, 1 comment in 1 year 4 months
Contributions summary:Jeff's commits primarily focused on updating and modifying HTML files within the repository, specifically in the context of course materials for the Data Science Specialization. These changes include additions, deletions, and modifications to the HTML structure, indicating a focus on improving the presentation and content of the course lectures. The user appears to be refining the user interface for the courses.
data-science
jtleek/dataanalysis
Jan 2013 - Dec 2013
The lecture slides for Coursera's Data Analysis class
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:28 commits in 11 months
Contributions summary:Jeff primarily contributed to the development of lecture slides, which included updates to CSS files and adjustments to HTML content. They made changes to the presentation's design and layout, including modifications to CSS files and the addition of new content to enhance user experience. Additionally, the user organized the lectures by week and added new lectures, demonstrating a focus on structuring and expanding the content of the data analysis course. The updates involved using frameworks like io2012 for presentation and handling various visual elements.
data-analysis
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