Affiliated Faculty

500 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.

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 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

Amy Pienta

Data Sharing, data curation, research transparency
Jodyn Platt

Jodyn Platt

Ethical, Legal, and Social Implications (ELSI) of Learning Health Systems

Timothy Pletcher

Modeling and simulating the value and benefits of data sharing and policy trade offs
Keshav Pokhrel

Keshav Pokhrel

Cancer epidemiology, quantile regression, time series forecasting

Stephen M. Pollock

Operations research and decision analysis
Vitaliy Popov

Vitaliy Popov

clinical simulations, learning analytics, multimodal

Laura Power

Epidemiology and Prevention of Communicable Diseases
S. Sandeep Pradhan

S. Sandeep Pradhan

classical and quantum Information theory, quantum field theory

Atul Prakash

Design of operating systems and database mechanisms for sensitive data, Security, and adversarial machine learning., privacy
John Prensner

John Prensner

Deciphering RNA translation in pediatric cancer

J.J. Prescott

Empirical Legal Studies

Nicholson Price

How law shapes innovation in the life sciences

Amiyatosh Purnanandam

Bank Risk, Default Risk, Equity in Finance, Financial Inclusion, Risk Management, Systemic Risk
Liang Qi

Liang Qi

atomistic simulations, computational materials science, machine learning

Qing Qu

Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning