The MIDAS affiliate faculty community consists of >400 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

Matthew Schipper

Biomarkers for individualized treatment and early phase oncology

Patrick Schloss

Beneficial and pathogenic host-microbiome interactions

Thomas Schmidt

Engineering the Gut Microbiome to Improve Human Health

Santiago Schnell

Mathematical, computational and statistical methods for optimal experimental design

Eric Schwartz

Customer behavior and interactive marketing

Clayton Scott

Quantitative predictions and inferences about large, complex data

Nicole Seiberlich

MRI, Magnetic Resonance Imaging, cardiac MRI, precision medicine, quantitative MRI, radiology workflow

Lawrence Seiford

Quality engineering, productivity analysis and process improvement

Ananda Sen

Competing risks, and inter-rater agreement, recurrent event data

Srijan Sen

Gene-environment interaction and their effect on stress, anxiety and depression

Yulia Sevryugina

COVID-19 literature, Information dissemination, Pandemic publishing, Publishing landscape

Prasad R. Shankar

Patient-centered high-value radiology through big data

Matthew Shapiro

Improving the quality of national economic statistics

Taysseer Sharaf

Developing statistical methods using artificial intelligence

Kerby Shedden

Applied statistics, data science and computing with data