R Primer in

Data Analysis

Cornell Course

Martin T. Wells, Ph.D., joined the Cornell faculty in 1987 and is the Charles A. Alexander Professor of Statistical Sciences. He is also a Professor of Social Statistics, Professor of Clinical Epidemiology and Health Services Research at Weill Medical School, an Elected Member of the Cornell Law School Faculty, as well as the Director of Research in the School of Industrial and Labor Relations. He teaches statistical methodology to undergraduate and graduate students in fields such as agriculture, biology, epidemiology, finance, law, medicine, nutrition, social science, and veterinary medicine as well as graduate courses in statistics. 

Jeremy Entner, Ph.D., joined Cornell’s Department of Statistics and Data Science as a Lecturer in 2019, where he teaches several courses including “Biological Statistics,” “The Theory of Interest,” and “Statistics for Risk Modeling.” He previously spent six years at the University of Tennessee at Martin teaching courses on mathematics and statistics. Dr. Entner holds a B.S. and M.A. in Mathematics from SUNY Brockport. He earned his Ph.D. in Mathematics with an Emphasis on Statistics from Syracuse University.

Sumanta Basu is an Assistant Professor in the Department of Statistics and Data Science at Cornell University. Broadly, his research interests are structure learning and the prediction of large systems from data, with a particular emphasis on developing learning algorithms for time series data. Professor Basu also collaborates with biological and social scientists on a wide range of problems, including genomics, large-scale metabolomics, and systemic risk monitoring in financial markets. His research is supported by multiple awards from the National Science Foundation and the National Institutes of Health. At Cornell, Professor Basu teaches “Introductory Statistics” for graduate students outside the Statistics Department and “Computational Statistics” for Statistics Ph.D. students. He also serves as a faculty consultant at Cornell Statistical Consulting Unit, which assists the broader Cornell community with various aspects of analyzing empirical research. Professor Basu received his Ph.D. from the University of Michigan and was a postdoctoral scholar at the University of California, Berkeley, and Lawrence Berkeley National Laboratory. Before he received his Ph.D, Professor Basu was a business analyst, working with large retail companies on the design and data analysis of their promotional campaigns.

Kara Karpman is an Adjunct Assistant Professor of Data Science and Statistics at Cornell University, as well as an Assistant Professor of Mathematics at Middlebury College in Middlebury, VT. Her research focuses on statistical modeling techniques for studying biological and financial data. Professor Karpman holds a B.S. in Mathematics from Duke University and an M.S. and Ph.D. in Applied Mathematics from Cornell University.