Summary
Shirley Liao is a Principal Biostatistician with a PhD from Harvard and eight years of experience applying Bayesian inference, causal methods, and adaptive trial design across industry and academia. She has led statistical work at Edwards Lifesciences, Verily, and Biogen, translating complex RWE and device data into regulatory-grade analyses and Bayesian A/B pipelines. Her research blends methodological innovation—such as modified Bayesian additive regression trees—with practical implementation in R, Python and SQL, and has contributed to over 20 publications spanning global health and environmental epidemiology. Comfortable moving between Phase 3/4 trial oversight, real-world claims and digital biomarker studies, she uniquely combines hands-on coding with stakeholder communication to influence study design and decision-making.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at Duke University
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Harvard T.H. Chan School of Public Health