Statistics at University of Chicago

41 faculty and 0 courses in Statistics at University of Chicago.

Faculty

• Donald Hedeker, Professor of Biostatistics h-index 82
  For example in the areas of mobile health (mHealth) and ecological momentary assessment (EMA) studies. For such intensive longitudinal data, Don has developed the mixed-effects
• Dan Nicolae, Interim Chair, Elaine M. and Samuel D. Kersten, Jr. Distinguished Service Professor h-index 72
• Li Ma, Professor h-index 66
• Brent Doiron, Heinrich Kluver Professor h-index 42
  Es on a combination of nonlinear dynamics and statistical mechanics, with an emphasis on the genesis and transfer of variability in neural circuits. I have developed core theoretical insights that have made contributions to both neural
• Peter McCullagh, John D. MacArthur Distinguished Service Professor Emeritus h-index 40
• Wei-Biao Wu, Professor h-index 40
• Dacheng Xiu, Professor of Econometrics and Statistics h-index 39
  Developing statistical methodologies and applying them to financial data, while exploring their economic implications. My earlier work involved risk measurement and portfolio management with high-frequency data and econometric model
• Rebecca Willett, Professor h-index 39
  Signal processing, machine learning, and large-scale data science. In particular, I have studied methods to leverage low-dimensional models in a variety of contexts, including when data are high-dimensional, contain missing entries
• Chao Gao, Professor h-index 37
  Spread across nonparametric and high-dimensional statistics, network analysis, Bayes theory and robust statistics. Last update: March 2024 News & Highlights Chao Gao awarded the Noether Early Career Scholar Award for 2023 , July 13, 202
• Jingshu Wang, Assistant Professor h-index 34
  In developing statistical methods and machine learning tools for cutting-edge bio-technologies and genetic problems. We currently work on various problems related to single-cell multi-omics and Mendelian Randomization. We also develop ge
• Guillaume Bal, Professor h-index 34
• Lek-Heng Lim, Professor h-index 23
• Veronika Rockova, Professor of Econometrics and Statistics and James S. Kemper Faculty Scholar h-index 19
• Kirk Wolter, Professor (Part-Time) h-index 18
• Ewain Gwynne, Professor of Mathematics h-index 18
• Lars Peter Hansen, David Rockefeller Distinguished Service Professor h-index 16
• Daniel Sanz-Alonso, Associate Professor h-index 12
  In inverse problems, data assimilation, and mathematical foundations of data science and machine learning. My aim is to contribute to the formulation and mathematical analysis of scientific questions involving data, and to develop and&n
• Yuehaw Khoo, Associate Professor h-index 11
• Claire Donnat, Assistant Professor h-index 10
• Nikolaos Ignatiadis, Assistant Professor h-index 9
• Frederic Koehler, Assistant Professor h-index 9
  Computational learning theory and related topics: probability theory, high-dimensional statistics, optimization, related aspects of statistical physics, etc. In particular, he is very interested in learning and inference in graphica
• Aaron Schein, Assistant Professor h-index 8
• Jeremy Hoskins, Assistant Professor h-index 6
• Rina Foygel Barber, Louis Block Professor h-index 4
  In developing and analyzing estimation, inference, and optimization tools for structured high-dimensional data problems such as sparse regression, sparse nonparametric models, and low-rank models. I work on developing methods for false
• Mengjie Chen, Associate Professor h-index 3
• Cong Ma, Assistant Professor
• Gregory F. Lawler, George Wells Beadle Distinguished Service Professor
• Mary Sara McPeek, Professor
  In statistical genetics and development of statistical methods. Software for most of my projects is available on my website . Specific current research interests include: methods for genetic association analysis, including methods for b
• Matthew Stephens, Ralph W. Gerard Professor, Departments of Statistics and Human Genetics, and the College
  Include: Sparsity, shrinkage, and false discovery rates, particularly for complex inter-related datasets. Factor Analysis, dimension reduction, and estimation of large covariance matrices. Clustering methods, and generalizations (eg grade o
• Mihai Anitescu, Professor (Part-Time)
• Molly Offer-Westort, Assistant Professor
  In causal inference and machine learning. My current work has a particular focus on applying methods for frequentist inference to data collected in adaptive experiments, and I work on methods to optimize adaptive experimental desig
• Nati Srebro, Professor (Part-Time)
• Nisha Chandramoorthy, Assistant Professor
• Per A. Mykland, Robert Maynard Hutchins Distinguished Service Professor
• Promit Ghosal, Assistant Professor
• Risi Kondor, Associate Professor
• Stephen M. Stigler, Ernest DeWitt Burton Distinguished Service Professor Emeritus
• Steven P. Lalley, Professor Emeritus
• Victor Veitch, Assistant Professor
  S include network data, and the foundations of learning and statistical inference. Last update: 7/10/23 News & Highlights UChicago Co-Leads $10 Million NSF Institute on Foundations of Data Science , August 9, 2022 Victor Veitch, first UChic
• Xinran Li, Assistant Professor
  Es mainly on developing novel methodologies for causal inference. I specialize in randomization-based inference for causal effects, sensitivity analysis for observational studies, experimental design such as rerandomization
• Yali Amit, Professor Emeritus

Roster/catalog compiled from the college’s public directory. Faculty counts are directory headcounts; the named list may be a subset. h-index shown only for ORCID-backed or high-confidence OpenAlex matches. Data as of 2026-07-01.