Around 260 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

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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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

Shan Bao

Understanding and modeling driver behavior

Satinder Singh Baveja

Artificial Intelligence, Deep Learning, Reinforcement Learning

Erhan Bayraktar

Mathematical finance and stochatic analysis

Adriene Beltz

The brain and gendered behavior through network analysis

Kathleen M Bergen

Field and geospatial methods for ecological systems, biodiversity and health

Michael Boehnke

Statistical analysis of human genetic data

Christopher Brooks

Visualizing the interaction between learners and learning technology

Elizabeth Bruch

Computer modeling of interactions between choices and environment

Ceren Budak

Computational social science

Eunshin Byon

Sustainable energy systems and reliability engineering

Michael Cafarella

Management of large data collections

Jessica K. Camp

National and international trends in poverty and inequality