Causal Inference

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 ...

Bingkai Wang

My research interests are in causal inference, randomized clinical trials, clustered data and their interactions with infectious disease research. In my research, data analysis is the core, and I use semi-parametric models and machine learning algorithms to draw statistical inference, make predictions, and quantify uncertainties.

Efe Yamac Yarbasi

Dr. Yarbasi’s expertise lies in uncertainty quantification for complex systems, verification and validation (V&V) processes, robotics, energy systems modeling within smart building infrastructures, and systems engineering. Prior to joining U-M, he collaborated extensively with government and industry on a range of projects, including the development of a surgical endoscopy robot and the energy optimization of ...

Catherine Kaczorowski

The Kaczorowski laboratory, led by Dr. Catherine Kaczorowski, pioneers techniques to identify and validate genetic and cellular mechanisms that promote resilience to cognitive aging, Alzheimer’s disease, and other age-related dementias. By combining mouse and human systems; genomic, anatomic, and behavioral approaches; and integrative analyses across multiple scales, data types, environmental factors, and species, we are ...

John Barry Ryan

My research focuses on the subfield of political communication using three primary quantitative methodologies: surveys, experiments (both psychological and behavioral economic), and content coding of text. My research has looked at the content of campaign websites, scholar’s social media accounts, newspaper coverage of elections as well as networked participants involving mock elections in a lab.My ...

Peter Reich

Reich conducts global change research on plants, soils, ecosystems and people across a range of scales. His work links fundamental physiology with community dynamics and ecosystem structure and function, from the patch to the globe, within the context of the myriad of global environmental challenges that face us. This includes studying the effects on natural ...

Cheng Li

My research focuses on developing advanced numerical models and computational tools to enhance our understanding and prediction capabilities for both terrestrial and extraterrestrial climate systems. By leveraging the power of data science, I aim to unravel the complexities of atmospheric dynamics and climate processes on Earth, as well as on other planets such as Mars, ...

Alauddin Ahmed

My core research expertise involves developing and employing a wide array of computational methods to discover, design, and characterize materials and systems that address critical challenges in energy and the environment. These methods span from stochastic techniques to molecular dynamics, density functional theory, quantum chemistry, and data science. Beyond contributing fundamental design principles for high-performing ...

Maggie Makar

My research focuses on developing reliable and efficient machine learning methods for causal inference as well as predictive models that leverage causal reasoning. My work typically involves applications to healthcare. Accomplishments and Awards Maggie Makar receives NSF CAREER Award to develop machine learning models backed by causal reasoning

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Applications

Andrew J. Admon, MD, MPH, MSc

Clinical Lecturer, Department of Internal Medicine

Arun Agrawal

Professor, School for Environment and Sustainability

Alauddin Ahmed

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Daniel Almirall

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

Saif Benjaafar

Seth Bonder Collegiate Professor and Professor of Industrial and Operations Engineering, Industrial and Operations Engineering

Katherine Brumberg

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

Eunshin Byon

Associate Professor, Industrial and Operations Engineering, College of EngineeringCivil and Environmental Engineering, College of Engineering

Neil Carter

Assistant Professor, School for Environment and Sustainability

Yan Chen

Daniel Kahneman Collegiate Professor of Information, School of Information