Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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.




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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
Photograph of Alison Davis Rabosky

Alison Davis Rabosky

Phenotypic innovation, the evolution of complex traits
Dan Rabosky

Dan Rabosky

Computational macroevolution, biodiversity dynamics, machine learning, statistical theory
Majdi Radaideh

Majdi Radaideh

Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization

Jenny Radesky

Research on young children, mobile/interactive media, parents

Trivellore E. Raghunathan

Missing data in sample surveys and in epidemiological studies
Indika Rajapakse

Indika Rajapakse

The dynamics of human genome organization