Affiliated Faculty

More than 200 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

Featured Faculty Member

Pascal Van Hentenryck

Professor, Industrial and Operations Engineering
Core Faculty

Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Data Collection Design, Data Mining, Data Security and Privacy, Data Visualization, Decision Science, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, Machine Learning, Mathematics, Network Analysis, Optimization, Predictive Modeling, Real-time Data Processing, Spatio-Temporal Data Analysis, Statistical Inference
Applications: Complex Systems, Computer Science, Electrical Engineering, Energy Research, Environmental Sciences, Human Subjects Trials and Intervention Studies, Management Science, Marketing and Consumer Behavior Research, Networks, Operations Research, Policy Research, Sensors and Sensor Networks, Social Sciences, Transportation Research, Urban Planning