Julie Lee

Assistant Professor of Analytics & Operations Management

Education

  • PhD, Operations Research, Georgia Institute of Technology, 2025.
  • MS, Operations Research, Georgia Institute of Technology, 2022.
  • BA, Engineering Sciences, Dartmouth College, 2018.
  • BEng, Mechanical Engineering, Dartmouth College, 2018.

Recent and Representative Publications

Lee, S., Gong, X., Garcia, G., (2025) Modified monotone policy iteration for interpretable policies in Markov decision processes and the impact of state ordering rules. Annals of Operations Research. 347(2), 783-841. https://doi.org/10.1007/s10479-024-06158-3

Lee, S., Pandey, S. H., Garcia, P. G., (2023) Designing Interpretable Machine Learning Models using Mixed Integer Programming. 1-8. https://doi.org/10.1007/978-3-030-54621-2_867-1 Springer International Publishing.

Lee, S., Garcia, G., Stanhope, K., Platner, M., Boulet, S., (2023) Interpretable machine learning to predict adverse perinatal outcomes: examining marginal predictive value of risk factors during pregnancy. American Journal of Obstetrics & Gynecology MFM. 5(10), 101096. https://doi.org/10.1016/j.ajogmf.2023.101096

Recent Courses Taught

  • ANOP 370, Prescriptive Analytics: Decision Modeling & Optimization.
  • ANOP 102, Spreadsheet Modeling & Data Analysis.

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