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

John Silberholz

clinical trial data

Mehrdad Simkani

Rational approximation in the complex domain

Stephen Smith

Using large data to examine rates and modes of evolution

Peter X. K. Song

Theory and methodology for environmental health sciences and nutritional sciences

Reza Soroushmehr

Algorithm design and implementation for healthcare

S. Sriram

Brand and product portfolio management

Kevin Stange

Education policy, Higher education, Labor economics

Anna G. Stefanopoulou

Batteries, Fuel-Cells, Model Multivariable Predictive Experimental Identification Engines

Joshua Stein

Enhancing Eye Care Using Big Data

Stilian A. Stoev

Applied probability and statistics for stochastic processes

Quentin Stout

Scalable parallel algorithms for large scientific problems

Martin J. Strauss

Randomized approximation algorithms for massive data sets

Wencong Su

Efficient management of a large number of devices through distributed intelligence

Vijay Subramanian

Stochastic modeling, decision and control theory and applications to networks

Yuekai Sun

Statistical methodology for high-dimensional problems