Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 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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Brian Perron

Services research for mental and substance use disorders

Mark Peterson

Physical activity epidemiology

Fabian Pfeffer

class, education, inequality, mobility, quantitative methods, social science, wealth

Amy Pienta

Data Sharing, data curation, research transparency

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

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

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