Davide Verotta, PhD

Phone: +1 415 476-1556
Fax: +1 415 476-1556
1001 Potrero Avenue, Rm 160
UCSF Box 0622
San Francisco, CA 94110
United States

What I do

I am a mathematical modeler and statistician with research interests in pharmacokinetics and pharmacodynamics and mathematical/statistical methods development.

Departmental research area

My research expertise

Bayesian modeling, PK/PD data and systems, population data analysis


PhD, Biostatistics, University of California, Berkeley, 1992
PhD, Agricultural Sciences, University of Milan, 1982


Dr. Davide Verotta’s main research interests are in pharmacokinetics and pharmacodynamics (PKPD) and mathematical statistical (MS) modeling. In PKPD, his main areas of interest are: mechanistic modeling (where prior knowledge about parts of a PKPD system is embedded in the model describing it); the development of empirical models (where no prior knowledge is embedded in the model) to analyze, simulate and control; population PKPD modeling with particular regard to empirical methods for population data analysis. In MS modeling, his main interests are in linear and non-linear system analysis, control, and experimental design. He is involved in collaborative research with scientists and different investigators in PKPD and clinical therapy (notably HIV therapy) modeling. Additional areas of investigation are the use of Bayesian methods, in particular applied to pharmacogenomics and mechanistic modeling, fractional differential equations, and applications of functional data analysis to population PKPD.

Research keywords

  • Biofilms
  • Hypothermia, Induced
  • Pseudomonas aeruginosa
  • pharmacokinetics
  • Models, Statistical
  • Biological Models
  • Mathematical Computing
  • drug evaluation
  • pharmacology
  • Nicotine
  • Models, Theoretical
  • Hypoxia-Ischemia, Brain
  • Cytochrome P-450 CYP3A Inhibitors
  • Gentamicins
  • Nonlinear Dynamics