Jeff Leek is a professor of biostatistics at Johns Hopkins University Bloomberg School of Public Health. He has taught millions of people data science online through massive online open courses. He is also an associate professor at Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab.
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Ashley K.G. Johnson is the program administrator for CBDS+ at the Johns Hopkins Bloomberg School of Public Health. She facilitates tutoring for program participants, manages recruitment efforts and the development of corporate and non-profit partnerships. Ashley is a Baltimore native and a graduate of Loyola University Maryland.
Shannon Ellis is a postdoctoral fellow in the biostatistics department at the Johns Hopkins Bloomberg School of Public Health who is working on machine learning for predicting phenotypes like tissue, sex, and age from gene expression data.
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Aboozar Hadavand is a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health. His current research involves analyzing MOOC data. He has previously taught at Barnard College (Columbia University), Brooklyn College, and Yeshiva University.
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John Muschelli is a research faculty at Johns Hopkins Bloomberg School of Public Health. He has created over 30 packages for data analysis and works in statistical data analysis of neuroimaging data.
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Sean Kross is currently a PhD student at the University of California San Diego. He lives in La Jolla, California where he spends most of my time writing code, taking pictures, and reading books.
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Leo Collado-Torres is part of the Data Science team at the Lieber Institute for Brain Development whose goals include better understanding and characterizing genomics signatures in the human brain.
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Leah Jager is an assistant scientists and lecturers at the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She teaches biostatistics, data analysis, and statistical methods in public health
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Sarah McClymont is a PhD candidate in Human Genetics at Johns Hopkins University School of Medicine. Her research involves identifying and characterizing regulatory regions of DNA in dopaminergic neurons to elucidate the role of regulatory variation in neurodegenerative and neuropsychiatric diseases, like Parkinson Disease and schizophrenia.
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Leslie Myint is an assistant professor of mathematics, statistics, and computer science at Macalester University. She holds a PhD degree in biostatistics at the Johns Hopkins Bloomberg School of Public Health. She has broad research interests in the areas of biology, human-data interaction, medicine, epidemiology, and public health.
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