The MIDAS affiliate faculty community consists of >360 U-M faculty members from over 60 departments.
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Integrating data on environmental change and ecological communities
Metadata for demographic behavior, research transparency and data security
Intelligent transportation, autonomous vehicles, connected vehicles, mobility
Markov Chain Monte Carlo methods in regression and graphical models
Bioinformatics in psychiatric pharmacogenomics; high-throughput image analysis.
Design and Analysis of Experiments, Econometrics, Partial Identification, statistical inference
High-dimensional modeling and Bayesian inference
Statistical signal processing and optimization with large data.
Asymptotics, empirical process theory, graphical networks, threshold and boundary estimation
Machine learning and statistical analysis of healthcare delivery and outcomes
Signal processing and impact of mobile devices on consumer behavior
Behavior-aware User Interfaces, Computational Interaction, Computational models of human behavior
Understanding and modeling driver behavior
Artificial Intelligence, Deep Learning, Reinforcement Learning
Mathematical finance and stochatic analysis