NING LENG, PH.D.

Abbvie

Ning Leng recently joined AbbVie’s Data & AI Acceleration group lead end-to-end in-silico simulation efforts that optimize clinical trial decisions and advancement. Prior to Abbvie, Ning served as the Global Head of Data Science Acceleration group at Roche-Genentech, where she led large-scale modernization efforts across clinical reporting—spanning end-to-end R-based regulatory filing, Shiny-enabled trial analysis dashboards, and GenAI productivity tools. Earlier, Ning was a statistician supporting early-phase oncology development and biomarker discovery.

Ning is also a cross-industry advocate for clinical data science modernization. She co-founded and co-led the R Consortium Submissions Working Group, which has partnered with the FDA across five pilots to demonstrate the feasibility of modern technologies for regulatory review and submission, including R, Shiny, containers, and WebAssembly. Ning earned her PhD in Statistics from the University of Wisconsin–Madison and her bachelor degree in Information and Computing Science from the Beijing Institute for Technology.