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.


Filter

Methodologies

Applications

Filter by last name:

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

Yi-Su Chen

Supply chain security, product quality and safety

Mark Steven Cohen

drug delivery, drug development, medical mixed reality technologies, tissue engineering

Amy Cohn

Robust and integrated planning for large-scale systems in healthcare and aviation

Kevyn Collins-Thompson

Intelligent information systems that help people learn and discover

Frederick George Conrad

Exploring new methods and data for social research.

Lia Corrales

Statistical techniques for studying astrophysical aerosols in the X-ray and UV

Jason Corso

High-level computer vision for human language, robotics and data science

Kai S. Cortina

From children and adolescents to adulthood, and the role of education

William Currie

Physical, chemical and ecological processes in the ecosystems

Mark S. Daskin

Supply chain network design in general and facility location models

Gerald Davis

Corporate governance and the effects of finance on society

Matthew A. Davis

Large datasets in health services policy

Pamela Davis-Kean

The interplay of brain, and behavior during human development, biology

Matthew J Delano

Optimizing innate immune function during trauma and sepsis

Walter Dempsey

Mobile Health, Network Science, Statistical Methods

Brian Denton

Data-driven sequential decision making and optimization under uncertainty