Jeff Leek

Jeff is a Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on public health genomics, data science as a science, and research on the scientific literature. He is also co-creator of the Johns Hopkins Data Science Specialization on Coursera (https://www.coursera.org/specializations/jhu-data-science) that has enrolled over 4 million. He is a co-editor of the journal Biostatistics. He writes a blog at Simply Statistics and is the author of the best-selling book “The Elements of Data Analytic Style” (https://leanpub.com/datastyle/).

Stephanie Hicks

Stephanie Hicks is an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She develops statistical methods, tools and software for the analysis of genomics data. Her research addresses statistical challenges in epigenomics, functional genomics and single-cell genomics such as the pre-processing, normalization, analysis of raw, noisy high-throughput data (microarray and next-generation sequencing) leading to improved quantification and understanding of biological variability. She taught the major data science course at Harvard before joining the faculty at Johns Hopkins. She also writes the blog Statistical Recipes which combines statistics and cooking (yum!).

Roger Peng

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also a co-founder of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the general public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. Roger conducts research on developing statistical methods for problems in environmental health. He has made substantial contributions to understanding the health effects of indoor and outdoor air pollution in the U.S. and around the world. He is the recipient of the 2016 Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to health statistics.

Brian Caffo

Brian Caffo is a Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Along with Roger Peng and Jeff Leek, Dr. Caffo created the Data Science Specialization on Coursera. Dr. Caffo is leading expert in statistics and biostatistics and is the recipient of the PECASE award, the highest honor given by the US Government for early career scientists and engineers.


Jessica Crowell

Jessica is a videographer and editor at Johns Hopkins Bloomberg School of Public Health, Department of Biostatistics. After graduating with a BFA in Video and Film from MICA (Maryland Institute College of Art), she joined the department in 2015. Since then, Jessica has shot and edited over three hundred MOOCs, a short documentary of the Biostat Dept. and its history, and has also created many other promo videos (sometimes involving puppets or animation). She is driven to maintain a collaborative balance between creativity and academic integrity, working closely with the members of Data Science Lab and members of the faculty to support them in all their endeavors.

Ira Gooding

Ira Gooding is Manager of the Open Education Lab in the Center for Teaching and Learning at the Johns Hopkins Bloomberg School of Public Health. He has contributed to the development of more than 50 massive open online courses and specializations, including the Data Science, Executive Data Science, Genomic Data Science Specializations. Ira is also Provost’s Fellow for Digital Initiatives.

Mike Orzechowski

As a Program Coordinator/Open Education Developer, I construct and maintain Massive Open Online Courses (such as those on Coursera, OCW, etc.) for JHSPH and some for the School of Medicine, and other departments. This includes the courses in Psychological First Aid, Introduction to Cancer Biology, Systematic Review and Data Analysis, etc., as well as Course Specializations such as the Data Science Specialization, Genomic Data Science Specialization, etc. on Coursera. This construction and maintenance includes using editing software (Captivate, Camtasia, etc.) to edit the video and audio of lectures for publication, creating syllabi out of given content, fixing errors and glitches in the active courses, and overseeing that the courses are complete and appropriate for the platform.