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Statistics

Katherine Brumberg

Katherine Brumberg’s research focuses on matching and stratification methods in observational studies. Her main contributions have been in developing new methods for optimizing the balance of covariates between the treated and control groups using approximation algorithms to solve intractable integer programs. She applies this research in healthcare and social science domains and has a particular ...

Irina Gaynanova

Dr. Gaynanova’s research focuses on the development of statistical methods for analysis of modern high-dimensional biomedical data. Her methodological interests are in data integration, machine learning and high-dimensional statistics, motivated by challenges arising in analyses of multi-omics data (e.g., RNASeq, metabolomics, micribiome) and data from wearable devices (continuous glucose monitors, ambulatory blood pressure monitors, activity ...

Yixin Wang

Yixin Wang works in the fields of Bayesian statistics, machine learning, and causal inference, with applications to recommender systems, text data, and genetics. She also works on algorithmic fairness and reinforcement learning, often via connections to causality. Her research centers around developing practical and trustworthy machine learning algorithms for large datasets that can enhance scientific ...

Ya’acov Ritov

My main interest is theoretical statistics as implied to complex model from semiparametric to ultra high dimensional regression analysis. In particular the negative aspects of Bayesian and causal analysis as implemented in modern statistics. An analysis of the position of SCOTUS judges.

Kean Ming Tan

I am an applied statistician working on statistical machine learning methods for analyzing complex biomedical data sets. I develop multivariate statistical methods such as probabilistic graphical models, cluster analysis, discriminant analysis, and dimension reduction to uncover patterns from massive data set. Recently, I also work on topics related to robust statistics, non-convex optimization, and data ...

Jonathan Terhorst

I develop probabilistic and statistical models to analyze genetic and genomic data. We use these methods to study evolution, natural selection, and human history. Recently, I have been interested in applying these techniques to study viral epidemics (e.g., HIV) and cancer.

Jeffrey Regier

Jeffrey Regier received a PhD in statistics from UC Berkeley (2016) and joined the University of Michigan as an assistant professor. His research interests include graphical models, Bayesian inference, high-performance computing, deep learning, astronomy, and genomics.

Gongjun Xu

Dr. Gongjun Xu is an assistant professor in the Department of Statistics at the University of Michigan. Dr. Xu’s research interests include latent variable models, psychometrics, cognitive diagnosis modeling, high-dimensional statistics, and semiparametric statistics.

Yang Chen

Yang Chen received her Ph.D. (2017) in Statistics from Harvard University and then joined the University of Michigan as an Assistant Professor of Statistics and Research Assistant Professor at the Michigan Institute of Data Science (MIDAS). She received her B.A. in Mathematics and Applied Mathematics from the University of Science and Technology of China. Research ...

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Applications

Mahesh Agarwal

Associate Professor of Mathematics, College of Arts, Sciences, and Letters, University of Michigan - Dearborn

Daniel Almirall

Research Associate Professor, Survey Research Center, Institute for Social Research

Research Associate Professor of Statistics, College of Literature, Science, and the Arts

Laura Balzano

Associate Professor of Electrical Engineering and Computer Science, College of Engineering

Associate Professor of Statistics, College of Literature, Science, and the Arts

Moulinath Banerjee

Professor of Statistics, College of Literature, Science, and the Arts

Katherine Brumberg

Assistant Professor of Statistics, College of Literature, Science, and the Arts

Yang Chen

Associate Professor of Statistics, College of Literature, Science, and the Arts

Fred Feinberg

Professor of Marketing, Stephen M Ross School of Business

Professor of Statistics, College of Literature, Science, and the Arts

Johann Gagnon-Bartsch

Associate Professor of Statistics, College of Literature, Science, and the Arts

Irina Gaynanova

Associate Professor of Biostatistics, School of Public Health

Associate Professor of Statistics, College of Literature, Science, and the Arts