Data Visualization

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

Project 1: The process of identifying vacant, abandoned, and disinvested properties is challenging for cities that want to acquire them for redevelopment. In [a paper](https://journals.sagepub.com/eprint/4PZVYRJYYYE3UKG7IBGJ/full), my team created a human-in-the-loop machine learning (HITLML) model and apply it to a parcel-level case study in Savannah, Georgia. We found that Human-in-the-loop ML (HITLML) exceeds the standard ML ...

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 ...

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 ...

Carol Menassa

My group’s research focuses on understanding and modeling the interconnections between human experience and the built environment. We design autonomous systems that support wellbeing, safety and productivity of office and construction workers, and provides them opportunities for lifelong learning and upskilling. In all research projects, we work hard to ensure that the results are inclusive ...

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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