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.


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

Andrew Grogan-Kaylor

Parenting behavior on child outcomes

Yuanfang Guan

High-accuracy algorithms for predicting gene functions and networks

Emanuel Gull

Computational condensed matter physics

Samuel K Handelman

Multi-omics for precision health and population-level intervention outcome

Edward G. Happ

Information and communications technology

Derek Harmon

Consequences of language in financial markets

Marcelline Harris

The use of electronic clinical data for practice and research

Xuming He

Mathematical modeling and uncertainty quantification

Yongqun (Oliver) He

Ontology, literature mining and gene networks

Margaret Hedstrom

Scalable digital curation and archiving

Áine Heneghan

Music analysis and the history of music theory

Alfred Hero

Theory and algorithms for data collection, analysis and visualization

Joseph Himle

Monitoring and treatment of trichotillomania

James R. Hines Jr.

Donation behavior and wealth transfer

Jingwen Hu

Reducing the incidence of injuries and fatalities in traffic accidents

Xun Huan

Uncertainty quantification, and numerical optimization, data-driven modeling