Data Visualization

Henning Silber

My research focuses on quantitative social research methodology, and I use machine learning to identify bias in social science data, especially due to measurement and nonresponse error, and to process unstructured data. I also use LLMs for the classification of text data, and explore strategies to use AI in questionnaire design. I first started to ...

Haojie Zhu

Haojie Zhu’s research centers on identifying genetic and non-genetic biomarkers associated with the pharmacokinetics and pharmacodynamics of various therapeutic agents through an integrated multi-omics approach, including genomics, proteomics, and metabolomics. He is also focused on utilizing these biomarkers to develop statistical and machine-learning models aimed at individualizing pharmacotherapy

Jiaqi Li

Dr. Jiaqi Li’s research interests include industrial decarbonization of materials, such as concrete and hydrogen, for civil and energy infrastructure through the use and generation of renewable energy and carbon capture, utilization, and storage. His research uses in-house experimental results to validate modelling work and uses machine learning tools such as regression, clustering, network analysis, ...

Xiaofan Liang

My research focused on using computational approaches and spatial and social network methods to advance understanding and solutions for contemporary urban challenges. My current research has two themes: 1) examining how urban network infrastructure (e.g., transportation, social, or digital infrastructure) can simultaneously be inclusive and exclusive, offering connectivity and access for certain populations, places, or ...

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 ...

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 ...

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 ...

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 ...

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Affiliation Type

Methodologies

Applications

Eytan Adar

Associate Professor, School of Information EECS, College of Engineering

Carlos Aguilar

Assistant Professor, Biomedical Engineering

Omar Jamil Ahmed

Assistant Professor, Psychology

Fadhl Alakwaa

Research Investigator, Neurology

Veera Baladandayuthapani

Professor, Biostatistics, School of Public Health

Shan Bao

Associate Professor, University of Michigan-Dearborn

Kathleen M Bergen

Associate Research Scientist, School for Environment and Sustainability

David Brang

Associate Professor, Psychology

Sophia Brueckner

Assistant Professor, Stamps School of Art & Design