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Dietrich College of Humanities and Social Sciences › Statistics & Data Science › People

The Department of Statistics & Data Science is a world leader in applying statistics to many areas of science, technology, policy, and education.

Faculty and students engage in interdisciplinary, collaborative research to help make fundamental advances in neuroscience, cosmology, networks, finance, genetics, theory and methods at the intersection of statistics and machine learning, and more. Faculty, staff, and graduate students alike pride themselves on providing a welcoming, nurturing environment for undergraduates who recognize that statistical skills are crucial in today’s market.

The content on personal websites is created and maintained by the individual site owners. The department is not responsible for the accuracy, completeness, or opinions expressed there.

Faculty

Siva Balakrishnan

Professor

Eli Ben-Michael

Assistant Professor, joint with Heinz College

Zach Branson

Associate Teaching Professor, Assistant Director, Undergraduate Program

David Choi

Associate Professor of Statistics and Information Systems

Bernie Devlin

Professor

Peter Freeman

Associate Teaching Professor, Director Undergraduate Program

Shannon Gallagher

Lecturer - Special Faculty

Chris Genovese

Professor

Joel Greenhouse

Professor

Amelia Haviland

E.J. Barone Professor of Health Systems Management

Robert Kass

Maurice Falk Professor of Statistics & Computational Neuroscience

Edward Kennedy

Professor

Spencer Koerner

Lecturer - Special Faculty

Arun Kumar Kuchibhotla

Associate Professor

Mikael Kuusela

Associate Professor

Ann Lee

Professor

Jing Lei

Professor

Jamie McGovern

Special Faculty, Director of the Master of Science in Applied Data Science Program

Gonzalo Mena

Assistant Professor

Daniel Nagin

Teresa and H. John Heinz III Professor of Public Policy

Nynke Niezink

Associate Professor

Rebecca Nugent

Fienberg University Professor of Statistics & Data Science/Department Head

Ankit Pensia

Assistant Professor

Alex Reinhart

Associate Teaching Professor and Assistant Director, Ph.D. Program

Kathryn Roeder

UPMC University Professor of Statistics and Life Sciences

Chad Schafer

Professor

Teddy Seidenfeld

Herbert A. Simon University Professor of Philosophy and Statistics

Cosma Shalizi

Associate Professor

Yandi Shen

Assistant Professor

Weijing Tang

Assistant Professor

Gabrielle Thivierge

Lecturer - Special Faculty

Will Townes

Assistant Professor

Valerie Ventura

Professor, Director Ph.D. Program

Isabella Verdinelli

Professor in Residence

Larry Wasserman

UPMC University Professor

Gordon Weinberg

Lecturer - Special Faculty

Ron Yurko

Assistant Teaching Professor

Ph.D. Students

Princess Allotey

Areas of Research
Causal Inference
Graphical Models & Networks
Public Policy & Social Sciences

Area of Research
STAMPS

Julian Braganza

Areas of Research
Causal Inference
Biostatistics & Epidemiology
Nonparametric Methods
Statistical Machine Learning
High-Dimensional Statistics

Xander Brick

Areas of Research
AI-SDM
Foundations of Inference
Public Policy & Social Sciences
Time Series Forecasting
Nonparametric Methods
Statistical Machine Learning

James Carzon

Areas of Research
STAMPS
Statistical Machine Learning

Gengyan Chen

Yuchen Chen

Areas of Research
High-Dimensional Statistics
Nonparametric Methods
Statistical Machine Learning

Asteria Chilambo

Areas of Research
Causal Inference
STAMPS
Public Policy & Social Sciences
Statistical Machine Learning
Optimization & Algorithms
High-Dimensional Statistics

Areas of Research
Statistical Machine Learning
Foundations of Inference
Nonparametric Methods
High-Dimensional Statistics

Areas of Research
Causal Inference
Biostatistics & Epidemiology
Graphical Models & Networks
Statistical Pedagogy & Educational Research
Genomics & Genetics
High-Dimensional Statistics

Elizabeth Cucuzzella

Areas of Research
STAMPS
AI-SDM

Areas of Research
Causal Inference
Nonparametric Methods
Foundations of Inference
Statistical Machine Learning
Optimization & Algorithms

Andrea Donazzan

Areas of Research
Genomics & Genetics
Biostatistics & Epidemiology

Areas of Research
Causal Inference
Biostatistics & Epidemiology
Nonparametric Methods
Genomics & Genetics
Statistical Machine Learning

Austin Feng

Areas of Research
Causal Inference
DELPHI
Graphical Models & Networks
Biostatistics & Epidemiology
Time Series Forecasting
Statistical Pedagogy & Educational Research

Yinan Guo

Areas of Research
Genomics & Genetics
Graphical Models & Networks
Biostatistics & Epidemiology
High-Dimensional Statistics

Neha Gupta

Areas of Research
Time Series Forecasting
Statistical Machine Learning
Optimization and Algorithms

Areas of Research
Genomics & Genetics
Causal Inference
STAMPS
Statistical Machine Learning
Public Policy & Social Sciences
High-Dimensional Statistics

Diego Huerta Ocana

Areas of Research
STAMPS
Statistical Machine Learning
Public Policy & Social Sciences

Patrick Kramer

Areas of Research
Causal Inference
Biostatistics & Epidemiology
Public Policy & Social Sciences
Statistical Machine Learning
High-Dimensional Statistics

Zhixin Lai

Hao Lee

JungHo Lee

Areas of Research
Causal Inference
Public Policy & Social Sciences
Nonparametric Methods
Statistical Machine Learning

James Leiner

Areas of Research
Statistical Machine Learning
High-Dimensional Statistics

Peem Lerdputtipongporn

Areas of Research
Causal Inference
STAMPS
Statistical Machine Learning
Graphical Models & Networks
Public Policy & Social Sciences

Lena Liang

Ziqi Liu

Areas of Research
High-Dimensional Statistics
Biostatistics & Epidemiology
Statistical Machine Learning

Diego Martinez Taboada

Areas of Research
Causal Inference
Statistical Machine Learning
Nonparametric Methods
High-Dimensional Statistics

Gabriel Moryoussef

Areas of Research
Biostatistics & Epidemiology
Statistical Machine Learning
High-Dimensional Statistics

Quang Nguyen

Areas of Research
Sports Analytics/CMSAC
Graphical Models & Networks

SeungHwan Noh

Elsa Palumbo

Areas of Research
Causal Inference
Public Policy & Social Sciences

Lorenzo Pastorelli

Leigh Preimesberger

Areas of Research
Causal Inference
STAMPS
Graphical Models & Networks
High-Dimensional Statistics

Areas of Research
DELPHI
Genomics & Genetics
Biostatistics & Epidemiology
Time Series Forecasting

Victoria Sagasta Pereira

Areas of Research
Causal Inference
Computational Neuroscience
STAMPS

Michele Sezgin

Areas of Research
Sports Analytics/CMSAC
Causal Inference
Nonparametric Methods
Statistical Machine Learning

Areas of Research
Genomics & Genetics
Biostatistics & Epidemiology
Nonparametric Methods
Graphical Models & Networks
Statistical Machine Learning
High-Dimensional Statistics

Alex Shen

Areas of Research
STAMPS
Foundations of Inference
Time Series Forecasting

Shuying Shen

Areas of Research
Causal Inference
Biostatistics & Epidemiology
Public Policy & Social Sciences
Nonparametric Methods

Areas of Research
Causal Inference
Genomics & Genetics
Nonparametric Methods

Tedi Totojani

Kabir Tripathi

Annie Wang

Meitan Wang

Michael Wieck-Sosa

Areas of Research
DELPHI
Nonparametric Methods
Time Series Forecasting
Computational Finance
Statistical Machine Learning
High-Dimensional Statistics