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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Joseph Ryan

Big data tools for child welfare and juvenile justice

Greg Rybarczyk

Causal mechanisms that influence travel patterns and urban dynamics

Romesh Saigal

Operational research in Finance, Renewable Energy and Healthcare, Transportation

Perry Samson

Relationships between student performance and behaviors

Ramon Satyendra

Music and mathematics, and compositional theory

Matthew Schipper

Biomarkers for individualized treatment and early phase oncology

Patrick Schloss

Beneficial and pathogenic host-microbiome interactions

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

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

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