The MIDAS affiliate faculty community consists of >360 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

Shravan Veerapaneni

Fast and scalable algorithms for differential and integral equations on complex moving geometries

Akbar Waljee

Use Data Science to promote high-value care in low resource settings.

Nils G. Walter

Intracellular single molecule, high-resolution localization

Naisyin Wang

Models and methodologies for complex biomedical data

Kevin Ward

Simultaneous monitoring and processing of a large number of physiological parameters

Lu Wei

Analytical properties of interacting particle systems

Brady West

Measurement error in auxiliary variables and survey data

Jenna Wiens

Machine learning and data mining for healthcare data

Terrence Wong

clonal hematopoiesis, leukemia evolution

Zhenke Wu

Statistical methods for precision medicine

Shaobing Xu

Control, Learning, and design of autonomous systems

Gongjun Xu

latent variable models, psychometrics, statistics