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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Christopher Brooks

Visualizing the interaction between learners and learning technology

Andrew Brouwer

Mathematical and statistical modeling for public health

Elizabeth Bruch

Computer modeling of interactions between choices and environment

Sophia Brueckner

Brueckner leverages her background in algorithms and engineering to speculate and prototype preferred technological futures.

Ceren Budak

Computational social science

Lorraine Buis

chronic disease self management.

Bilal Butt

Agritech, Big Data, Environmental Social Sciences

Eunshin Byon

Sustainable energy systems and reliability engineering

J. Brian Byrd

Patient-oriented hypertension research, collaborations with data scientists

Jessica K. Camp

National and international trends in poverty and inequality

Dallas Card

Natural language processing, and computational social science, machine learning

Neil Carter

complex adaptive systems, human-wildlife coexistence

Tim Cernak

Computational design of chemical reactions and synthesis

Lucia Cevidanes

Quantitative markers for temporomandibular joint osteoarthritis risk prediction

Mithun Chakraborty

Multi-agent decision-making, collective forecasting, fairness and diversity

Charu Chandra

Complex systems in the manufacturing and service sectors