38 faculty and 0 courses in Statistics at Carnegie Mellon University.
- Weijing Tang, Assistant Professor h-index 135
- Daniel Nagin, Teresa and H. John Heinz III Professor of Public Policy h-index 106
His research focuses on the evolution of criminal and antisocial behaviors over the life course, the deterrent effect of criminal and non-criminal penalties on illegal behaviors, and the development of statistical methods for analyzing long
- Bernie Devlin, Professor h-index 103
My research has two major foci: the development or refinement of statistical methods for the analysis of genetic data and the implementation of those methods to discover the genetic basis of disease, especially autism, schizophrenia, and ne
- Kathryn Roeder, UPMC University Professor of Statistics and Life Sciences h-index 86
Es on developing statistical methods for analysis of genetic and genomic data with an aim to find associations between patterns of genetic variation and complex disease. To solve biologically relevant problems, her team utilizes modern stat
- Robert Kass, Maurice Falk Professor of Statistics & Computational Neuroscience h-index 62
I am broadly interested in developing and understanding statistical methods in neuroscience, especially involving approaches from Bayesian analysis, graphical models, multivariate analysis, high-dimensional inference, point processes, and t
- Larry Wasserman, UPMC University Professor h-index 52
My research interests include machine learning, high dimensional inference, nonparametric inference, statistical topology, and astrostatistics. Areas of Research Causal Inference DELPHI STAMPS Foundations of Inference Statistical Machine Le
- Jing Lei, Professor h-index 46
My main research area is statistical theory and methodology, including: Analyzing statistical properties of some popular methods and algorithms in machine learning and engineering, such as the particle filter, spectral clustering, and spars
- Joel Greenhouse, Professor h-index 45
My research interests include the development of statistical methods for the design and analysis of data from observational studies, clinical trials and for meta-analysis. Most recently I have been working on developing methods for combinin
- Edward Kennedy, Associate Professor h-index 35
My research interests include causal inference, missing data, functional estimation, machine learning, and general nonparametrics, especially in settings involving high dimensional and otherwise complex data. I am particularly interested in
- Amelia Haviland, E.J. Barone Professor of Health Systems Management h-index 34
Dr. Haviland’s research focuses on causal analysis with observational data and analysis of longitudinal and complex survey data applied to policy issues in health and criminology. For example, she recently led a team of researchers as
- Ann Lee, Professor h-index 33
- Cosma Shalizi, Associate Professor h-index 29
My research interests include statistical inference for complex systems; nonparametric prediction for stochastic processes; causal inference; large deviations and ergodic theory; networks and information flow in neuroscience, economics and
- Jiashun Jin, Professor h-index 29
My primary research interest is on analyzing big data where the signals we are searching for, although quite numerous overall, are sparse compared to the number of would-be false signals and are also individually weak. In this "rare and wea
- Peter Freeman, Associate Teaching Professor, Director Undergraduate Program h-index 28
I work in the interdisciplinary area of astrostatistics. My interest is in developing and applying advanced data analysis methods to complex and/or high-dimensional astronomical datasets. I have worked on source detection algorithms, cosmic
- Aaditya Ramdas, Associate Professor h-index 22
Post-selection inference, game-theoretic statistics and predictive uncertainty quantification. His areas of applied interest include privacy, neuroscience, genetics and auditing. Website Areas of Research AI-SDM Biostatistics &
- David Choi, Associate Professor of Statistics and Information Systems h-index 16
My current research focuses on statistics and machine learning for network data, including exploratory data analysis and community detection, and causal inference in the presence of social network effects. Areas of Research Public Policy &a
- Gonzalo Mena, Assistant Professor h-index 15
Life sciences problems involving data. My experience comes from neuroscience and epidemiology, where datasets are of two extreme types. In neuroscience, they are the output of cutting-edge technologies (e.g., a new microscope), where I deve
- Shannon Gallagher, Lecturer - Special Faculty h-index 15
- Eli Ben-Michael, Assistant Professor, joint with Heinz College h-index 13
My research focuses on developing statistical and computational methods to solve practical issues in public policy and social science research. I am particularly interested in bringing together ideas from statistics, optimization, and machi
- Alex Reinhart, Associate Teaching Professor and Assistant Director PhD Program h-index 12
I've worked on various spatio-temporal data analysis and anomaly detection problems motivated by applications, including radiation detection and crime prediction, as well as performing pedagogical research on the ways students understand st
- Arun Kumar Kuchibhotla, Associate Professor h-index 11
- Spencer Koerner, Lecturer - Special Faculty h-index 5
My research has been focused on diverse neuroscientific applications, with primary focus around my interests of: estimating low dimensional latent dynamical systems, their manifestation in neuron-to-neuron correlation structure, models of n
- Teddy Seidenfeld, Herbert A. Simon University Professor of Philosophy and Statistics h-index 4
His current collaborations with Kadane and Schervish include a theory for indexing the degree of incoherence in non-Bayesian statistical decisions, work on the representation of coherent choice-functions using sets of probabilities, and inv
- Ankit Pensia, Assistant Professor
Robust and heavy-tailed statistics, inference under constraints, and machine learning & high-dimensional statistics. Personal Website Statistics & Data Science Dietrich College of Humanities and Social Science
- Chad Schafer, Professor
One specific, recurring theme in my research is the rigorous handling of the complex models and data structures that increasingly dominate the sciences. For example, cosmological models are characterized by key unknown physical constants; m
- Chris Genovese, Professor
Es on high-dimensional and nonparametric inference problems, especially related to complex scientific questions. My applied work covers a range of scientific areas, including cosmology, neuroscience, and evolutionary biology. I am leading a
- Gordon Weinberg, Lecturer - Special Faculty
- Isabella Verdinelli, Professor in Residence
Many high dimensional datasets present interesting, hidden low-dimensional structures. Clusters, filaments, hyperplanes, and more complex structures are examples of low dimensional systems that need to be identified and estimated. This will
- Jamie McGovern, Special Faculty, Director of MS in Applied Data Science
- Mikael Kuusela, Associate Professor
- Nynke Niezink, Associate Professor
Psychometrics and Statistics, from the University of Groningen. Her work has been supported by an NWO Research Talent Grant, an NSF SBE Award, a Russell Sage Foundation Small Grant, and various NIH grants, amongst others. Website Specifi
- Rebecca Nugent, Fienberg University Professor, Department Head
The development and deployment of low-barrier data analysis platforms that allow for adaptive instruction and the study of data science as a science. Website Specific Research Interests Rebecca's research interests lie in clustering, rec
- Ron Yurko, Assistant Teaching Professor
Es on developing methods at the interface of inference and machine learning, oriented towards problems in sports analytics and natural language processing. I am also the Director of the Carnegie Mellon Sports Analytics Center (CMSAC) and th
- Siva Balakrishnan, Professor
I am broadly interested in statistical machine learning. Most recently, I have been working on understanding algorithms for solving non-convex estimation problems. Areas of Research Causal Inference Public Policy & Social Sciences Found
- Valerie Ventura, Professor, Director PhD Program
Most of my research is in computational neuroscience, and involves time series forecasting, networks, algorithms, and nonparametric methods. Areas of Research DELPHI Biostatistics & Epidemiology Computational Neuroscience Graphical Mode
- Will Townes, Assistant Professor
I am an applied statistician working primarily in the biomedical and public health domains. As part of the Delphi research group, I focus on the use of wastewater-based epidemiology, wearable devices, and other auxiliary signals to improve
- Yandi Shen, Assistant Professor
- Zach Branson, Associate Teaching Professor, Interim Director Undergraduate Program
My main research interests are experimental design and causal inference. Most of my work tackles theoretical/methodological/applied questions that can be posed as, "Does a treatment cause a change in outcomes?" Meanwhile, my main teaching i
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.