Hua Xie is a director-level product operations and engineering leader with nine years of experience applying statistics, machine learning, and probabilistic modeling to biopharma manufacturing and quality problems. With a PhD in Mathematical and Computational Biology, Hua has moved from developing Bayesian deep learning and stochastic soil-carbon models in academia to operationalizing analytics for cell therapy continuous improvement at Gilead and Kite. He has built automated pipelines and forecasting apps that clarified CMO relationships and vendor compliance, authored global GMP data governance, and led cross-functional workshops to raise statistical literacy. Hua combines deep technical rigor in Bayesian methods and explainable AI with practical product delivery—revamping dashboards, enabling OTIF insights, and preventing assay failures via data-driven CAPAs. Based in Santa Monica, he prioritizes using quantitative methods to investigate complex human-health problems and has a track record of turning advanced research into auditable, production-ready solutions. An underrated strength is his interdisciplinary fluency—spanning neuroscience, soil science, marketing analytics, and cinematic arts—which helps him translate complex models into actionable decisions for diverse stakeholders.
9 years of coding experience
8 years of employment as a software developer
BS, Neuroscience, BS, Neuroscience at Northwestern University
Contributions:7 commits, 2 PRs, 35 pushes in 2 years 3 months
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