Affiliated Faculty

520 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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Muzammil M. Hussain

Global communication and comparative politics

Edward Ionides

Time series analysis for ecology, epidemiology, health economics and biology

Deanna Isaman

chronic disease, data synthesis, economic model

Christiane Jablonowski

Physics-guided machine learning, climate modeling, emulation

Abigail Jacobs

Computational social science, empirical design, governance, observational data, social networks, statistical inference

H. V. Jagadish

Database systems, query models and analytics processes for reliable insight
Meha Jain

Meha Jain

agriculture, machine learning, remote sensing, sustainability

Stefanus Jasin

approximation algorithm, business analytics, machine learning, optimization
jianghui

Hui Jiang

Bioinformatics, computational statistics, machine learning, optimization, statistical genomics

Ruiwei Jiang

Data-Driven Optimization, Electric Power System, Robust Optimization, Stochastic Optimization, Transportation, healthcare

Judy Jin

Data fusion for improving system operation and quality
Sean Johnson

Sean Johnson

Galaxy Evolution, quasars, the circumgalactic medium, the intergalactic medium

Timothy D. Johnson

Bayesian methoda and statistical modeling of biomedical data

Vicki Johnson-Lawrence

Epidemiologic methods in chronic disease risk

David Jurgens

computational social science and natural language processing