معرفی
Miaolan Xie is an Assistant Professor at Purdue University's Edwardson School of Industrial Engineering, joining in 2025. Currently, she is a postdoctoral Principal Researcher at the University of Chicago Booth School of Business, affiliated with the Healthcare Initiative. Her academic journey includes a Ph.D. from Cornell University (2019–2024) under Katya Scheinberg and a Master's and Bachelor's in Combinatorics & Optimization from the University of Waterloo. Prior to academia, she worked as a data scientist at Alibaba, Baidu, and PwC Consulting, and as a Givens Associate at Argonne National Laboratory.
Education:
- Ph.D., Operations Research and Information Engineering, Cornell University (2019–2024)
- Master of Math, Combinatorics & Optimization, University of Waterloo (2014–2016)
- Bachelor of Math, Pure Math and Combinatorics & Optimization, University of Waterloo (2010–2014)
Research Interests: Focuses on stochastic optimization, data science, nonlinear optimization, and machine learning applications in healthcare. Develops algorithms with rigorous theoretical guarantees for messy data scenarios. Current work emphasizes adaptive optimization methods with high probability complexity bounds, leveraging tools from statistics and stochastic processes.
Awards:
- Second Place, 2023 Student Paper Prize (INFORMS Optimization Society)
- Second Place, Flash Talk Competition (YinzOR Student Conference)
- NSF Research Internship Funding (2022)
Advising & Grants: Seeking PhD students for Fall 2025. Active in grant-funded research through NSF and institutional collaborations. Prior industry experience informs applied healthcare optimization projects.
Labs & Teams: Leads a research group at Purdue, collaborating with healthcare and optimization experts. Affiliated with the Healthcare Initiative at the University of Chicago Booth School of Business.
