(303) 870-7393

Applications:
Civic Infrastructure, Climate Research, Complex Systems, Energy Research, Environmental Sciences, Industrial Engineering, Operations Research, Policy Research, Transportation Research
Methodologies:
Computational Tools for Data Science, Decision Science, Machine Learning, Optimization, Statistical Modeling, Time Series Analysis

Michael Craig

Assistant Professor

School for Environment and Sustainability

Michael is an Assistant Professor of Energy Systems at the University of Michigan’s School for Environment and Sustainability and PI of the ASSET Lab. He researches how to equitably reduce global and local environmental impacts of energy systems while making those systems robust to future climate change. His research advances energy system models to address new challenges driven by decarbonization, climate adaptation, and equity objectives. He then applies these models to real-world systems to generate decision-relevant insights that account for engineering, economic, climatic, and policy features. His energy system models leverage optimization and simulation methods, depending on the problem at hand. Applying these models to climate mitigation or adaptation in real-world systems often runs into computational limits, which he overcomes through clustering, sampling, and other data reduction algorithms. His current interdisciplinary collaborations include climate scientists, hydrologists, economists, urban planners, epidemiologists, and diverse engineers.