Joyce Hsiao is a Ph.D. applied statistician and leader with 11 years of experience translating high-dimensional biology and computational chemistry into rigorous preclinical decisions, now directing Preclinical Statistics at Takeda after building non-clinical statistics capabilities at Moderna. She designs and oversees fit-for-purpose experiments and DoE strategies across mRNA-LNP therapeutics, CMC, PK/PD, and biomarker discovery, pairing interpretable predictive models with practical lab automation for high-throughput assays. Joyce has a strong publication record in single-cell and sequencing analytics and a track record of releasing methodological tools (e.g., flowMap) that bridge bioinformatics and applied statistics. Known for mentoring cross-disciplinary teams and forging academic collaborations, she brings both hands-on computational expertise and strategic leadership to early drug development programs.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Statistics, Doctor of Philosophy (Ph.D.) Applied Statistics at University of Maryland
Master of Science (MS) Clinical Psychology, Master of Science (MS) Clinical Psychology at Loyola University Maryland
Contributions:111 commits, 113 pushes, 1 branch in 6 months
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