Summary
Jui Chang is a data scientist with nine years of experience applying advanced analytics and machine learning across fintech and healthcare, currently driving predictive modeling at Cedars-Sinai. She holds graduate training in statistics from National Taiwan University and Purdue University and combines rigorous statistical foundations with hands-on ML engineering. Her background includes improving credit fraud and currency-prediction models using sampling strategies, LightGBM, and Spark, and research on predicting severe dengue patients using KDE clustering and clinical features. Based in Torrance, CA, she translates complex health and financial datasets into actionable insights that improve decision-making and operational efficiency. Notably, she bridges academic research and production delivery—comfortable both designing novel algorithms and optimizing pipelines for scale.
10 years of coding experience
2 years of employment as a software developer
Master's degree, statistics, Master's degree, statistics at National Taiwan University
Bachelor's degree, Financial Engineering and Actuarial Mathematics, Bachelor's degree, Financial Engineering and Actuarial Mathematics at Soochow University
Master's degree, Statistics, Master's degree, Statistics at Purdue University
Chinese, English, Japanese