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.




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Elizabeth Bondi-Kelly

Elizabeth Bondi-Kelly

AI for social impact
David Brang

David Brang

Multisensory, electrophysiology, machine learning, neuro-oncology, neuroscience

Christopher Brooks

Visualizing the interaction between learners and learning technology

Andrew Brouwer

Mathematical and statistical modeling for public health
Elizabeth Bruch

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

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
Changxiao Cai

Changxiao Cai

Mathematical Data Science, machine learning, optimization, statistics

Jessica K. Camp

National and international trends in poverty and inequality
Dallas Card

Dallas Card

Natural language processing, and computational social science, machine learning

Neil Carter

complex adaptive systems, human-wildlife coexistence