Jiaying Wu

About Jiaying Wu

A tech lead using data and AI to drive practical, measurable improvements in healthcare. I lead and mentor a team of data scientists across innovation initiatives, working closely with clinical experts, product teams, and external partners to explore, prototype, and validate new ideas. From problem framing to piloting and ROI measurement, I focus on structured experimentation and responsible technology, turning promising concepts into scalable solutions that make real, positive impact in healthcare. A New York-based photographer, capturing the essence of life with light and shadow.

Experience

1. Lead Data Scientist

   CVS Health

   Feb 2022 — Present

   Pharmacy Utilization Management - Analytics & Behavior Change• Achieve a 30% improvement in targeting rate and save operational cost by $1-1.7 million annually, through identifying patients who might have misused controlled substances with predictive algorithms• Implement clustering models to identify high Rx utilization groups, leading to $1.1 million estimated pharmacy cost savings and a lower trend of expensive migraine medications• Enable automated machine learning pipelines by developing a Python package encompassing data processing, feature engineering, model training, and model serving, in close collaboration with clinical, pharmacist, operations, engineering, and compliance teams• Conduct technical interviews for talent acquisition and organize GCP workshops to drive successful adoption of GCP for data scientists in the PBM analytics team

Education

• Columbia University

  MS, Applied Analytics

  2018 — 2019

• Columbia University

  Cross-registration, Applied Data Science

  2019 — 2019

• Shanghai Lixin University of Accounting and Finance

  BA, English, Accounting

  2008 — 2012