I am a Ph.D. candidate in Industrial & Systems Engineering at the University of Washington in Seattle, where I am fortunate to be advised by Prof. Shan Liu and collaborate with Prof. Léonard Boussioux and Prof. Chaoyue Zhao. I am also completing a concurrent master’s in Statistics.
My research focuses on developing reliable optimization and machine learning models to solve complex challenges in healthcare operations management, particularly around resource allocation. I am driven by two key objectives: using predictive and prescriptive frameworks to address gaps in healthcare access and creating user-friendly decision-support tools for healthcare practitioners. My Ph.D. journey has allowed me to work closely with impactful stakeholders, including the National Public Health Lab in Kenya, UW Population Health, and Amazon Pharmacy, translating research into practical solutions that support healthcare at multiple levels.
I am also passionate about the transformative potential of Generative AI in optimization and am continually exploring how these tools can enhance decision-making processes.
University of Washington, Seattle, WA
Ph.D in Operations Research, 2021 - present
M.S. in Statistics, 2024 - present
M.S. in Industrial Engineering, 2021 - 2023
Fudan University, Shanghai
B.S. in Physics and Mechanics, 2016 - 2020
Exchange Student at UCLA, UCEAP, 2018
Student Researcher with Amazon Pharmacy, UW+Amazon Science Hub, Jan - Jun 2025, Seattle, WA
Applied Scientist Intern, Middle Mile Product & Technology, Amazon, Summer 2024, Bellevue, WA
Applied Scientist Intern, Supply Chain Optimization Technologies, Amazon, Summer 2023, Bellevue, WA
Algorithm Engineering Intern, Cardinal Operations, Summer 2020, Beijing, China