Jade Xiao is a data scientist and recent PhD in Operations Research from Georgia Tech with a decade of research and applied experience focused on health economics and outcomes research. She specializes in simulation modeling and cost-effectiveness analysis, translating complex statistical and operational models into actionable insights for healthcare decision-making. Her background spans academic research roles at Georgia Tech and MGH's Institute for Technology Assessment to industry-facing work at Value Analytics Labs, reflecting strength in both methodological rigor and practical implementation. Having worked internationally and completed engineering training in New Zealand and an exchange at NUS, she brings a multidisciplinary engineering perspective to HEOR problems. Colleagues describe her as a quantitative thinker who pairs deep technical expertise with clear communication to inform policy and value-based care strategies.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Georgia Institute of Technology
Bachelor of Engineering (Honours) Engineering Science, Bachelor of Engineering (Honours) Engineering Science at University of Auckland
Non-Graduating Exchange Programme, Non-Graduating Exchange Programme at National University of Singapore
Contributions:2 PRs, 73 pushes, 2 branches in 1 year 5 months
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