Jeff Goldsmith
About
Dr. Jeff Goldsmith is Associate Professor of Biostatistics at the Columbia University Mailman School of Public Health. He serves as the Associate Dean for Data Science at MSPH, and as the Associate Director for Education at the Columbia University Data Science Institute. His statistical work focuses on functional data analysis specifically and high-dimensional, structured data more broadly. He has developed new statistical methods for regression, dimension reduction, and unsupervised learning. Dr. Goldsmith has a broad methodological and collaborative research portfolio, encompassing neuroscience and neuroimaging, physical activity behaviors, environmental health, and cardiovascular health. He has published in a range of outlets, including Biostatistics, Biometrics, Journal of the American Statistical Association, eLife, and Neurorehabilitation and Neural Repair; and he is coauthor of the book Functional Data Analysis with R.
Dr. Goldsmith is a Fellow of the American Statistical Association and was selected as an inaugural recipient of the COPSS Emerging Leader Award. He received the Mailman School’s Dean’s Excellence in Leadership Award the Columbia University Presidential Award for Outstanding Teaching.
He works to incorporate data science techniques for transparency and reproducibility into biostatistical analyses. Research projects are accompanied by robust, publicly available software and analytical pipelines that ensure the reproducibility of the results. This approach is informed by his work in developing a graduate course in data science.
In 2013, Dr. Goldsmith founded (with Dr. Todd Ogden and Dr. Phil Reiss) the Functional Data Analysis Working Group (FDAWG) at Columbia Biostat.
Dr. Goldsmith received a BS in mathematics from Dickinson College in 2007 and a PhD in Biostatistics from Johns Hopkins University in 2012.
Contact Information
Jeff Goldsmith
Department
of Biostatistics
Columbia Mailman School of
Public Health
722 West 168th Street, Room 617
New York, New York 10032