Professor of Biomedical Engineering
Chonette Chair in Biomedical Technology
Pharmacokinetic/pharmacodynamic systems analysis, systems biology of drug action, drug development.
Office: DRB 154
Phone: (213) 740-0341
Fax: (213) 740-0343
Email: dargenio@bmsr.usc.edu
Dr. D'Argenio is associated with the Biomedical Simulations Resource (BMSR) and Center for Neural Engineering (CNE) labs.
Background
David Z. D'Argenio received his Bachelors degree in Electrical Engineering from the University of Dayton in 1972, M.S. in Electrical Engineering from the Pennsylvania State University in 1974, and Ph.D. in Biomedical Engineering from USC in 1979. From 1993 to 1995 he served as Associate Dean for Academic Affairs in the School of Engineering and from 1996 to 2003 as Chairman of the Department of Biomedical Engineering. He also served as Interim Director of the Alfred E. Mann Institute for Biomedical Engineering from 1998-1999. Professor D'Argenio is a member of the FDA Clinical Pharmacology Subcommittee and a member of the board of directors of the House Ear Institute.
Research
Professor D'Argenio is Co-Director, together with Vasilis Z. Marmarelis, of the Biomedical Simulations Resource (BMSR) at USC. The BMSR is funded by the National Institute of Biomedical Imaging and Bioengineering of the NIH to develop novel modeling and computational methodologies for the experimental study of biological systems and understanding, diagnosing and treating human diseases. Professor D'Argenio's research focuses on the development of advanced modeling and computational methods for studying the absorption, distribution and elimination of therapeutic drugs (pharmacokinetics - PK), for understanding how drugs produce their effects (pharmacodynamics - PD) and for identifying the genetic basis for differences in drug action (pharmacogenomics - PG). Recent research projects include:
- Phosphorylation of nucleoside analogues
- Population pharmacogenomic modeling
- Physiological PK of anti-cancer agents
- Molecular PD of onroproteins and heat stock proteins
- Modeling Drug Interactions of anti-cancer and anti-viral drugs
- Nonlinear Bayesian Forcasting using Markov Chain Monte Carlo Methods
- Control of Uncertain PK/PD processes
- Optimal sampling times for pharmacokinetic experiments
- In silico methods in drug development
Professor D'Argenio has also developed, together with Professor Alan Schumitzky of the Department of Mathamatics at USC, the ADAPT software package for pharmacokinetic/pharmacodynamic systems analysis. ADAPT is a computational tool for basic and clinical research scientists involved in therapeutic drug development. It is designed to facilitate the discovery, exploration and application of the underlying pharmacokinetic and pharmacodynamic properties of therapeutic drugs. ADAPT is used by university, industry and government drug development researchers the world-wide.
