Yiying Wang is a product manager with 15+ years across healthcare, AI and insurance, blending epidemiology and data science training with hands-on product and project leadership. She has driven cross-border product, system and service initiatives from public-health surveillance to enterprise health management, helping business units scale through data-driven analytics, BI platforms and risk-control systems. At companies from Aetna/CVS and Pacific Insurance to Philips and a medical AI startup, she translated clinical needs into validated AI prototypes, LLM-enabled demos, and deployable analytical products. Her rare combination of clinical epidemiology (MS in Occupational Health) and R/Python skills lets her bridge medicine, analytics and engineering to solve constrained business problems with creative technical turnarounds. Known for building low-code internal tools, reproducible analysis pipelines and measurable cost-control models, she thrives in fast-changing environments that demand rapid reprioritization and cooperative delivery.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS Occupational Health and Epidemiology, Master of Science - MS Occupational Health and Epidemiology at Fudan University
Contributions:41 commits, 8 PRs, 143 pushes in 2 years
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