The MIDAS affiliate faculty community consists of 340 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

Raj Rao Nadakuditi

Statistical signal processing and random matrix theory

Viswanath Nagarajan

Efficient algorithms for combinatorial optimization problems

Inbal (Billie) Nahum-Shani

Methods for construing adaptive interventions, adaptive interventions

Kayvan Najarian

Computer-assisted clinical decision support systems

Brahmajee Nallamothu

Quality of care and patient outcomes

Romesh P. Nalliah

Evaluation of healthcare and education processes

Satish Narayanasamy

Computer architecture, software systems and program analysis

Joshua P Newell

geographic information systems, gis, remote sensing, resource flow analysis, sustainability, urban systems

Long Nguyen

Statistical inference in richly structured data

Quan Nguyen

learning analytics, network analysis, time-series analysis

Gilbert S. Omenn

Cancer proteomics and splice isoforms

Gabor Orosz

Automated, Connected, Control, Delay, Dynamics, Learning, Traffic, Vehicle

Luis E. Ortiz

Systems involving the interaction of a large number of “entities”

Jason Owen-Smith

The collective dynamics of large scale networks and their implications for innovation

Necmiye Ozay

Heterogeneous data from sensor and information-rich networked dynamical systems