The MIDAS affiliate faculty community consists of over 420 U-M faculty members from over 60 departments.

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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Mark Allison

Autonomic control of complex cyberphysical systems

Daniel Almirall

Causal inference for longitudinal data

Karen Alofs

Integrating data on environmental change and ecological communities

George Alter

Metadata for demographic behavior, research transparency and data security

M. Reza Amini

Intelligent transportation, autonomous vehicles, connected vehicles, mobility

Sardar Ansari

Biomedical Informatics, Deep Learning, Electronic Health Records, Natural language processing, Signal and Image Processing, Wearable Devices, machine learning, optimization

Yves Atchade

Markov Chain Monte Carlo methods in regression and graphical models

Brian D. Athey

Bioinformatics in psychiatric pharmacogenomics; high-throughput image analysis.

Yuehao Bai

Design and Analysis of Experiments, Econometrics, Partial Identification, statistical inference

Kevin Bakker

mechanistic models of infectious disease

Veera Baladandayuthapani

High-dimensional modeling and Bayesian inference

Laura Balzano

Statistical signal processing and optimization with large data.

Moulinath Banerjee

Asymptotics, empirical process theory, graphical networks, threshold and boundary estimation

Mousumi Banerjee

Machine learning and statistical analysis of healthcare delivery and outcomes

Syagnik Banerjee

Signal processing and impact of mobile devices on consumer behavior