About
Dr. Xuan Vinh Doan is a Reader in the ISM-Analytics (ISMA) Group at Warwick Business School. He serves as the former Research Environment Lead in Analytics (2023-2025) and was a Turing Fellow at the Alan Turing Institute (2018-2023). His academic journey includes a PhD from MIT’s Operations Research Center, a master’s via the MIT-Singapore Alliance program, and an undergraduate degree from RMIT University.
- Education:
- PhD: Operations Research Center, MIT
- MSc: MIT-Singapore Alliance Program
- Bachelor’s: RMIT University, Australia
His research focuses on Optimization under Uncertainty, Data Mining, and Operational Research, with applications to large-scale systems and fairness in resource allocation. Recent work addresses surgical scheduling under uncertainty, equitable resource distribution, and blockchain optimization.
His articles span topics like healthcare operations, algorithmic fairness, and stochastic modeling. Key contributions include frameworks for handling missing data in machine learning and optimizing Merkle tree structures for blockchain efficiency.
Dr. Doan currently teaches Advanced Analytics: Models and Applications and Optimization Models in the MSc Business Analytics program.
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