The MIDAS affiliate faculty community consists of over 450 U-M faculty members from over 60 departments.
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machine learning, personalized medicine, predictive modeling
Data rescue, and infrastructure building, record linkage
Semantic web, fault management and wireless network
Autonomic control of complex cyberphysical systems
Causal inference for longitudinal data
Integrating data on environmental change and ecological communities
Metadata for demographic behavior, research transparency and data security
Intelligent transportation, autonomous vehicles, connected vehicles, mobility
AI ethics, AI justice, social implications of algorithms and AI
Biomedical Informatics, Deep Learning, Electronic Health Records, Natural language processing, Signal and Image Processing, Wearable Devices, machine learning, optimization
Bioinformatics in psychiatric pharmacogenomics; high-throughput image analysis.
Design and Analysis of Experiments, Econometrics, Partial Identification, statistical inference
mechanistic models of infectious disease
High-dimensional modeling and Bayesian inference
Statistical signal processing and optimization with large data.