Maotong Sun is a doctoral candidate in Operations Research at TUM School of Management with nine years of experience applying Python, R, SQL, and machine learning to real-world decision problems. She has built end-to-end pipelines—from MySQL databases and R/Shiny interfaces to predictive models—for injury-risk prediction in athletics and improved defect-detection accuracy using TensorFlow in industrial imaging. Her research blends advanced modeling and statistical analysis to optimize complex systems and inform actionable decisions for practitioners. Comfortable moving between research and product-facing engineering, she combines academic rigor with hands-on implementation experience across interdisciplinary teams in Europe, the U.S., and Asia.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at TUM School of Management
International summer program, ENGINEERING, International summer program, ENGINEERING at Technische Universität Dortmund
Master of Science - MS, Industrial Engineering, Master of Science - MS, Industrial Engineering at University of Pittsburgh
Contributions:2 PRs, 3 pushes, 2 branches in 2 years 10 months
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Maotong Sun - Doctoral Student at TUM School of Management