Staff Associate, Institute for Social and Economic Research and Policy
Jonah is a researcher in statistics affiliated with Columbia's Applied Statistics Center and working with Andrew Gelman and the Columbia Population Research Center. He also develops software tools for applied researchers as a member of the Stan Development Team.
Professor of Statistics and Political Science, Graduate School of Arts and Sciences
Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. His... Read More →
Lecturer in the Discipline of Political Science, Columbia University
Ben Goodrich is a core developer of Stan, which is a collection of statistical software for Bayesian estimation of models, and is the maintainer of the corresponding rstan and rstanarm R packages. He teaches in the political science department and in the Quantitative Methods in the Social Sciences master's program at Columbia University.
Postdoctoral Research Scientist, Data Science Institute
Alp Kucukelbir develops statistical machine learning algorithms and he uses probabilistic programming to develop scalable and robust inference techniques. He enjoys working on applications in structural biology. He is currently working with David Blei and collaborates closely with Andrew Gelman on the Stan probabilistic programming system. Kucukelbir obtained his... Read More →
Staff Associate, Institute for Social and Economic Research
Daniel Lee is a statistical researcher affiliated with ASC, working for Andrew Gelman. Research includes new MCMC algorithms and applied Bayesian models.
Founder and CEO, Stan Group Inc.
Eric is founder and CEO of Stan Group Inc. , the company that is dedicated to spreading the joys of Bayesian modeling and the Stan language (mc-stan.org) to the masses. |
Prior to Stan Group, Eric was a Data Scientist at TIBCO Spotfire where he built statistical applications for customers in Financial Services, Energy, Pharma, and Consumer Goods Sectors. Prior to TIBCO, he was a Statistical Consultant at Random House where he built pricing... Read More →
PhD Candidate in Computer Science, Columbia Engineering
Dustin Tran is Ph.D. student in Computer Science at Columbia, where he is advised by David Blei and Andrew Gelman. He works in the fields of Bayesian statistics and machine learning and his research interests include general-purpose inference algorithms, Bayesian nonparametric statistics and hierarchical models, and causal inference.
Tran is also a member of the Blei Lab and the Stan development team. He... Read More →