Qianwen Wang is an Associate Director and pharmacometrician with nine years’ experience applying translational and clinical PK/PD modeling to accelerate drug development from preclinical studies to global regulatory approvals. With a PhD in Pharmacy and postdoctoral training at UCSF, she blends mechanistic modeling, disease progression, and population PK/PD to inform first-in-human dosing, trial design, and survival analyses across infectious diseases and rare liver disorders. At GSK she led PK/PD strategy for COVID-19 and multiple monoclonal antibody programs, directly shaping dosing guidance and international treatment recommendations. Her hands-on background spans both wet lab bioanalysis (LC-MS/MS, microdialysis) and advanced nonlinear mixed-effects modeling (NONMEM, PsN, R), enabling her to bridge the animal-to-human translation gap. She has a strong record of published research, invited international presentations, and mentoring junior scientists, and she uniquely combines formulation and experimental skills with high-level clinical pharmacology leadership.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Pharmacy, 3.92/4.00, Bachelor of Science - BS, Pharmacy, 3.92/4.00 at Sun Yat-Sen University
Postdoc, Pharmacometrics, Postdoc, Pharmacometrics at University of California, San Francisco
Contributions:10 commits, 8 pushes, 1 branch in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.