Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


Use this box to search by name, department, or other keyword. Use the filters below to search by major data science methodologies or applications.


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Tian An Wong

and fatal police violence., impact assessment of surveillance technology, media sentiment analysis
Kevin Wood

Kevin Wood

antibiotic resistance, evolution, microbes, spatiotemporal dynamics, stochastic processes

Andrew Wu

Generative AI, Natural language processing
Zhenke Wu

Zhenke Wu

Statistical methods for precision medicine
Picture of Besa Xhabija

Besa Xhabija

cancer, environmental exposure, natural products, stem cells, toxicology

Xiaoling Xiang

and implementation of evidence-based interventions, comorbidity, epidemiology of mental disorders in late life, quality of home and community-based services
Gongjun Xu

Gongjun Xu

cognitive diagnosis modeling, high-dimensional statistics, latent variable models, psychometrics, semiparametric statistics

Ming Xu

Computational and data-enabled methodology for sustainability

Ying Xu

STEM learning, conversational AI, educational media, language learning, large language models

Olga Yakusheva

data architecture, econometric methods for causal inference, secondary analyses of big data in nursing
Qiong Yang

Qiong Yang

biophysics for understanding complex stochastic cellular and developmental processes in early embryos

X. Jessie Yang

Human-Computer Interaction, human-robot interaction
Bing Ye

Bing Ye

Artificial Intelligence, Drosophila, behavior, cell biology, computational science, developmental biology, neuroscience
Jieping Ye

Jieping Ye

Computational methods for biomedical data analysis and informatics
Yafeng Yin

Yafeng Yin

developing sustainable and economically efficient transportation systems

Lei Ying

Complex stochastic systems and big-data, and large-scale graph mining, private data marketplaces