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Economics, Finance and Business

Kurt Skifstad

Dr. Skifstad’s focus is on tracking the evolving impact of AI on business models, the entrepreneurial ecosystem, and innovation. He was one of the first PhDs to graduate from the U-M Artificial Intelligence Lab. The first 30 years of his career were spent running venture capital-backed software companies.

Vladimir Dvorkin

My work focuses on decision-making models and algorithms for enhancing planning, operation, and pricing in electric power systems with substantial renewable energy integration and rising AI-driven electricity demand. This involves developing prescriptive analytics—such as decision-focused and physics-informed machine learning models—to manage grid uncertainties, building large-scale equilibrium models to analyze interactions among AI users in the ...

Andrew Wu

My research focuses on the interface of technology, finance and operations management. I develop and apply new approaches in natural language processing (NLP) and text analytics to study emerging and classic OM problems including (1) new marketplaces in both Fintech and Edtech, (2) supply chain risks, and (3) societal impact of OM/financial decisions.

Maggie Makar

My research focuses on developing reliable and efficient machine learning methods for causal inference as well as predictive models that leverage causal reasoning. My work typically involves applications to healthcare. Accomplishments and Awards Maggie Makar receives NSF CAREER Award to develop machine learning models backed by causal reasoning

Tanya Rosenblat

My main research interest lies in experimental economics, social networks and social learning. I am particularly interested in how people aggregate information from social networks and news sources and form posterior beliefs. I use regression techniques to uncover causal relationships as well as classification to reduce the dimensionality of data. Some of my recent research ...

Stefanus Jasin

My research focus the application and development of new algorithms for solving complex business analytics problems. Applications vary from revenue management, dynamic pricing, marketing analytics, to retail logistics. In terms of methodology, I use a combination of operations research and machine learning/online optimization techniques.  

Olga Yakusheva

My research interests are in health economics and health services research; specifically econometric methods for causal inference, data architecture, and secondary analyses of big data. My primary focus is the study the work of nurses. I led the development of a new method for outcomes-based clinician performance productivity measurement using the electronic medical records. With ...

A.J. Million

A.J is a  Research Investigator at ICPSR who also studies topics like public-sector information technology use, scholarly communication, research data management, and public administration. His work can be found on Google Scholar.

Trishul Kapoor

Our research is focused on Post ICU pain syndromes (PIPS). PIPS exhibit distinct phenotypic presentations and can be predicted by intra-ICU parameters. Our primary goal is to be able to predict post-ICU opioid use based on intra-ICU parameters. We utilize a data-driven characterization of post-ICU pain syndromes will utilize unsupervised clustering algorithms including DBSCAN and ...

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Peter Adriaens

Professor, Civil and Environmental Engineering, College of EngineeringRoss School of BusinessSchool for Environment and Sustainability

Yuehao Bai

Assistant Professor, Economics

Syagnik Banerjee

Professor, Mobile and Interactive Marketing

Erhan Bayraktar

Professor, Mathematics, LSA

Ceren Budak

Assistant Professor, School of Information

Mithun Chakraborty

Assistant Research Scientist, Computer Science and Engineering, Electrical Engineering and Computer Science

Yi-Su Chen

Assistant Professor, Operations Management, Ross School of Business

Vladimir Dvorkin

Assistant Professor, Electrical Engineering and Computer Science, University of Michigan

Ron Eglash

Professor, School of Information