The MIDAS affiliate faculty community consists of >400 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.


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Mark Peterson

Physical activity epidemiology

Amy Pienta

Data Sharing, data curation, research transparency

Timothy Pletcher

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

Keshav Pokhrel

Cancer epidemiology, quantile regression, time series forecasting

Stephen M. Pollock

Operations research and decision analysis

Vitaliy Popov

clinical simulations, learning analytics, multimodal

Laura Power

Epidemiology and Prevention of Communicable Diseases

S. Sandeep Pradhan

classical and quantum Information theory, quantum field theory

Atul Prakash

Design of operating systems and database mechanisms for sensitive data

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

Kevin Quinn

Empirical legal studies and statistical methodology

Jenny Radesky

Research on young children, mobile/interactive media, parents

Trivellore E. Raghunathan

Missing data in sample surveys and in epidemiological studies

Indika Rajapakse

The dynamics of human genome organization