Machine Learning

Chris Teplovs

My research focuses on leveraging language models to enable concurrent, embedded and transformative assessment processes for learners and their educational journeys. Traditional assessment approaches are primarily summative, placing students in high-pressure exam situations that may not accurately reflect their abilities or learning progression. These assessments tend to follow a “one size fits all” model, neglecting ...

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.

David Gerdes

I study the Solar System’s small-body populations, objects that are cosmic leftovers from the protoplanetesimal disk from which the Earth and the other planets formed. These populations range from near-Earth asteroids, to the main asteroid belt between Mars and Jupiter, to more distant populations such as Jupiter and Neptune Trojans, Kuiper Belt objects, and beyond. ...

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 ...

Jiayu Zhou

My main research activities address the fundamental challenges of machine learning when applied to real-world applications. My research theme is to develop generalizable, scalable, interpretable, and privacy-preserving approaches that can effectively mine insights from big data and validate and incorporate such insights in application domains, especially health informatics. My long-term research vision is to achieve ...

Suraj Rampure

As teaching faculty, Suraj spends his time teaching students how to think critically with data. He teaches students the theoretical foundations of data science, from empirical risk minimization, linear algebra, and probability, to more practical aspects, from tabular data manipulation and web scraping to model building and cross-validation, with an emphasis on implementation in Python. ...

Tomer Stern

Our lab is dedicated to understanding the complex choreography of cells as they organize during early animal development, giving rise to diverse organ morphologies. We achieve these through genetic manipulation, advanced microscopy, and computational data analysis, in two different model systems: the mouse skeletal system, and the early fruit fly embryo. Most of our work ...

Lin Ma

My research interests lie in the intersection of database management systems (DBMSs) and machine learning (ML), especially using ML/AI techniques to automate database administration/tuning to remove human impediments.

X. Jessie Yang

Dr. X. Jessie Yang is an Associate Professor in the Department of Industrial and Operations Engineering, with courtesy appointments at the School of Information. She is an expert in human-autonomy/robot interaction, particularly in modeling trust in human-autonomy teams. She and her team use machine learning tools to model human behaviors when interacting with autonomous and ...

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Keith Aaronson, MD

MD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine, Michigan Medicine Cardiology Clinic | Cardiovascular Center

Steven Abney

Associate Professor, Linguistics, LSA School of Information EECS, College of Engineering (Courtesy)

Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Mohamed Abouelenien

Associate Professor, College of Engineering and Computer Science

Joelle Abramowitz

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

Andrew J. Admon, MD, MPH, MSc

Clinical Lecturer, Department of Internal Medicine

Peter Adriaens

Professor, Civil and Environmental Engineering, College of Engineering Ross School of Business School for Environment and Sustainability

Mahesh Agarwal

Associate Professor, Mathematics and Statistics, College of Arts, Sciences, and Letters

Alauddin Ahmed

,