540 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.
Affiliated Faculty
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Timothy D. Johnson
Bayesian methoda and statistical modeling of biomedical data
Vicki Johnson-Lawrence
Epidemiologic methods in chronic disease risk
Dani Jones
Gaussian processes, Great Lakes, adjoint modeling, data assimilation, oceanography, unsupervised classification
David Jurgens
computational social science and natural language processing
Niko Kaciroti
Bayesian Modeling, dynamic models.
Jack D. Kalbfleisch
Analyzing failure time or event history data
Vineet Kamat
Construction; Robotics; Human-Robot Collaboration
Hyun Min Kang
Practical, accurate, and efficient methods for big data genome science
Jian Kang
Bayesian methods, composite likelihood approach and missing data problems, efficient statistical computation algorithms, graphical models, latent source separation methods, network inference, ultrahigh-dimensional feature selection
Trishul Kapoor
ICU Vital Sign for Opioid Use Prediction
Steven J. Katz
Cancer treatment communication, and quality of care, decision-making
Daniel P. Keating
Longitudinal analyses across multiple databases, population modeling.
Evan Keller
Single cell and spatiotemporal analyses of healthy and diseased tissues
Branko Kerkez
Smart and adaptive water systems
James Kibbie
Analysis of Bach's organ music and performance
John Kieffer
Simulation-based predictive design for new materials