Scholar
Mochen Yang
Google Scholar ID: GBchV38AAAAJ
Associate Professor, University of Minnesota
Algorithmic Decision-Making
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Just Because You Can, Doesn't Mean You Should: LLMs for Data Fitting
2025
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Resume (English only)
Background
Associate Professor in the Department of Information and Decision Sciences, Carlson School of Management, University of Minnesota
Studies algorithmic decision-making from both 'make' and 'use' perspectives
'Make' perspective: designs theoretically robust and computationally efficient algorithms for decision-making in information-intensive environments
'Use' perspective: examines antecedents of algorithmic decision-making and its impact on decision quality, fairness, and privacy
Aims to study real-world problems and develop practical solutions to support individual and organizational decision-making
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