Summary
Jiying Zou is a Senior Real World Data Scientist with 9 years of experience applying statistics and AI to improve drug development, public health messaging, and patient outcomes. Trained at UC Berkeley and Stanford, she combines deep RWE expertise (EHR, claims, registries) with product-led analytics, having driven a $60M+ prospective study, standardized datasets to cut analysis time 30%+, and produced evidence that influenced regulatory and development decisions. She has strong cross-functional impact—optimizing protocols and data pipelines, error-proofing workflows, and launching org-wide AI education initiatives—while also shaping digital health responses at Meta during COVID-19. An active mentor and volunteer, she translates technical rigor into patient-centered solutions (including methods that incorporate patient preferences into trial endpoints) and brings a rare mix of statistical theory, product execution, and community-focused leadership.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Statistics, Bachelor of Arts - BA, Statistics at University of California, Berkeley
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Stanford University
English, Chinese, French