Brian Caffo
Professor at Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inR Data Science and Visualization
Brian Caffo is a Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health with over two decades of academic leadership and 14 years of focused experience in statistical research and education. Trained in mathematics and statistics (BS, MS, PhD) at the University of Florida, he has advanced statistical computing, hierarchical and longitudinal modeling, neuroimaging prediction, and sleep-health research while cofounding the SMART working group. A recognized educator and innovator, he co-created the Johns Hopkins Data Science Specialization on Coursera and actively contributed Bayesian and inference materials to the course’s open-source repository. His teams won the ADHD-200 neuroimaging challenge, he received a PECASE award early in his career, and he now serves as president of the Bloomberg School’s faculty senate. Beyond research and administration, he is passionate about reshaping higher education with scalable, data-driven approaches.
13 years of coding experience
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of Florida
Github Skills (5)
rmarkdown10
probability10
r10
statistical-inference10
html9
Programming languages (7)
Github contributions (5)
jtleek/modules
Dec 2013 - Jan 2014
Role in this project:
Data Scientist
Data ScientistContributions:102 commits in 1 month
Contributions summary:Brian worked on content for lecture 1 of the modules repository, focusing on statistical inference. Their contributions involved moving and editing lecture content, primarily focused on the introduction to statistical inference, and also adding examples, potentially for the purpose of teaching. The changes primarily involved adapting content to an updated course template.
DataScienceSpecialization/courses
Jan 2014 - May 2014
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Role in this project:Data Scientist
Data ScientistContributions:62 commits in 4 months
Contributions summary:Brian added a Bayes lecture to the course materials, specifically focusing on common distributions and statistical inference within a data science specialization. This involved detailed content additions to an HTML file, suggesting the creation of educational resources related to probability and statistical concepts. The commit also included minor fixes and edits, indicating an active role in developing and refining the learning materials.
pythonsciencedata-science-specializationspecializationdata-science
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