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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Jana Hirschtick

Jana Hirschtick

social epidemiology

Zhen Hu

Additive Manufacturing, Bayesian methods, Big data analytics, Material, Reliability, Uncertainty quantification, machine learning, optimization
Wei Hu

Wei Hu

Deep Learning, Representation Learning, machine learning, optimization, theory
Jingwen Hu

Jingwen Hu

Reducing the incidence of injuries and fatalities in traffic accidents

Xun Huan

Uncertainty quantification, and numerical optimization, data-driven modeling

Xianglei Huang

climate diagnostics, data modeling, optimization, remote sensing, time-series analysis

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