QSP Week | Session 1: Integrating QSP & Machine Learning WG

Dr. Androulakis is a Biomedical Engineering, Chemical & Biochemical Engineering Professor at Rutgers University. He is also a graduate faculty member in the Pharmaceutical Sciences as the Ernest Mario School of Pharmacy at Ritegrs University. He received his BS in Chemical Engineering from NTUA and his MS and Ph.D. from Purdue University. He was a research associate at Princeton University before joining ExxonMobil’s Corporate Strategic Research Laboratories. In 2004 he moved back to academia. He is a fellow of the American Institute of Medical and Biological Engineering and a Fellow of the American Institute of Chemical Engineers. He currently chairs the Quantitative Systems Pharmacology Special Interest Group of the International Society of Pharmacometrics. He has published extensively in quantitative systems biology and quantitative systems pharmacology.

Dr. Limei Cheng is an accomplished scientist with 20 years of experience in developing novel algorithms, modeling and simulations for healthcare applications such as quantitative systems pharmacology (QSP). She is currently the QSP Lead of Clinical Pharmacology and Pharmacometrics at (CP&P) at Incyte Corporation in Delaware. In her position, Dr Cheng uses model-based QSP approaches to integrate clinical and non-clinical data in a quantitative and mechanistic way to generate actionable predictions. Prior to joining Incyte, she led QSP-CV group in the department of CP&P at Bristol Myers Squibb (BMS) for almost 8 years. Prior to working at BMS, she spent 3+ years working at Philips Research North America in the Department of Clinical Decision Support Solutions. She began her career as a research associate at the Biomedical Simulation Resource (BMSR) in the Department of Biomedical Engineering at the University of Southern California (USC). Dr. Cheng has numerous recent presentations and publications demonstrating the utility of Systems Pharmacology in Pharmaceutical R&D. Dr. Cheng earned a B.E. in Biomedical Electronic Engineering from Xi’an Jiao Tong University, an M.S. in Electrical Engineering from the University of California, Los Angeles (UCLA), and a Ph.D. in Biomedical Engineering from USC. Her key areas of interest include QSP modeling, pharmacometrics, virtual population simulation, machine learning and AI, and personalized precision medicine.