Summary
Zhen Wu is a data scientist with a decade of hands-on experience bridging biostatistics, clinical research, and production analytics, currently at Genentech after a recent role building clinical-data tooling at CIMS Global. He holds applied mathematics and biostatistics training from Emory and Yale and has driven end-to-end solutions—from synthetic patient-data generation and unit-tested R packages to production R Shiny apps that empowered DMC reviews and non-technical users with LLM-augmented visualizations. Zhen has co-authored multiple clinical research papers and presented industry-grade Shiny workflows at PHUSE, highlighting a rare combination of rigorous statistical practice and product-focused deployment. Comfortable across R, Python, MATLAB, SQL, and JavaScript, he repeatedly turns messy clinical datasets into reproducible pipelines and decision-ready outputs. Based in New Jersey and actively seeking internships, he pairs deep quantitative skill with a track record of shipping reusable tools that scale in regulated environments.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics and Statistics, Bachelor of Science - BS, Applied Mathematics and Statistics at Emory University
Master of Science - MS, Biostatistics Data Science, Master of Science - MS, Biostatistics Data Science at Yale University