معرفی
Meimei Chen is a PhD candidate at the Macquarie Business School, Macquarie University, affiliated with the Macquarie University Centre for the Health Economy (MUCHE) and Data Horizons Research Centre. Her research integrates causal inference, machine learning, and econometrics to analyze health policies and model individual preferences in large-scale health data.
- Education: Master of Statistics with Excellence (UNSW Sydney), Bachelor of Science in Statistics (University of Science and Technology of China), and Master by Research with High Distinction (Macquarie University)
Her PhD thesis focuses on combining machine learning and semiparametric methods to estimate causal effects and preference heterogeneity. She has published in JAMA Network Open and the Journal of Nutrition, Health and Aging, with presentations at major conferences including AHES, AAG, ANZESG, ACE, and IHEA.
- Research Outputs: 2 peer-reviewed publications (2023-2025)
- Key Contributions: Novel multi-task machine learning models for health evaluation
Her work has been recognized through competitive presentation slots at AHED Workshops (2022, 2024) and the IHEA Congress (2025). She possesses advanced skills in statistical modeling and programming with complex datasets.
