Xinnong Li
PhD candidate | Dr. Robert Bies Lab | University at Buffalo.
University at Buffalo
Buffalo, NY
I am a Ph.D. candidate in Pharmaceutical Sciences at University at Buffalo. I received my Master’s degree in Pharmacometrics and Personalized Pharmacotherapy from University at Buffalo. I obtained Bachelor’s degrees in Shengyang Pharmaceutical University.
My research background includes PopPK model development, machine learning application in pharmacometrics, as well as PBPK model buidling. Specifically, I made contribution to the pyDarwin toolbox development, developed PBPK model for the female reproductive tract, and participated in the long-acting injectable cabotegravir subproject.
selected publications
- Estimation of prevention-effective CAB-LA concentrations among men who have sex with men (MSM) and transgender women (TGW) in HPTN 083Journal of Infectious Diseases, 2025
- PBPK models of the female reproductive tract: current and future analysisExpert Opinion on Drug Metabolism & Toxicology, 2025
- pyDarwin Machine Learning Algorithms Application and Comparison in Nonlinear Mixed-effect Model Selection and OptimizationJournal of Pharmacokinetics and Pharmacodynamics, 2024
- pyDarwin: A Machine Learning Enhanced Automated Nonlinear Mixed-Effect Model Selection ToolboxClinical Pharmacology & Therapeutics, 2024