Frederick Tan is on the Bioinformatics Research Faculty at Carnegie Institution, Department of Embryology, and an Adjunct Assistant Research Scientist at Johns Hopkins University, Department of Biology. His educational activities include the Practical Genomics Workshop, Quantitative Biology Bootcamp, C-MOOR, and AnVIL Outreach.

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. 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.

Sarah Wheelan is an associate professor of Oncology and Molecular Biology and Genetics at the Johns Hopkins University School of Medicine, and has an appointment in the department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. She is a founder and co-director of the Center for Computational Genomics and a co-director of the Experimental and Computational Genomics Core.

Kai Kammers is an Assistant Professor of Oncology in the Division of Biostatistics and Bioinformatics at the Johns Hopkins University School of Medicine. His work is fundamentally motivated by applications to real-life genomic research questions through close collaborations involving researchers from a variety of scientific backgrounds.

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. 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.