Summary
Le Wei is a research-focused data scientist with 9 years of experience applying statistical methods and data visualization to health and clinical research. Currently a Research Officer at the University of Sydney, she designs accelerometer-based studies, leads analysis and manuscript writing on how activity bout lengths affect health estimates, and synthesizes epidemiologic evidence to set research rationale. Her background blends hands-on hospital statistics and data management with teaching big-data analytics and a strong foundation in R and Python from formal training at Hofstra, NYC Data Science Academy, and NTU. Comfortable translating messy clinical datasets into publishable results, she has supported COVID-19 research and built end-to-end pipelines from extraction to interpretation. Based in Australia while completing a PhD in physical activity epidemiology, she brings both practical hospital research experience and advanced analytic rigor to population health questions.
9 years of coding experience
4 years of employment as a software developer
University of Kansas
Master's degree, Data Analytics, 3.5/4.0, Master's degree, Data Analytics, 3.5/4.0 at Hofstra University
The University of Sydney
Data Analyst, Data Analyst at NYC Data Science Academy
English, Chinese, Italian