About the lab
We investigate how biological systems dynamically respond to perturbations, using mechanistic models integrated with experimental data to predict adaptation, escape, and recovery.
The Quantitative Pharmacology and Systems Modeling Lab integrates quantitative pharmacology, systems modeling, enzyme kinetics, experimental biochemistry, and mathematical modeling to understand dynamic biological responses across molecular, cellular, and physiological scales.
Our work aims to connect biological mechanisms with system-level behavior, supporting hypothesis generation, model-informed experimental design, and translational applications.
Research lines
Our research is organized around three complementary lines that connect mathematical modeling, quantitative pharmacology, and experimental characterization of biological systems.
Mathematical modeling of biological systems
We develop mathematical and computational models to understand the dynamics of biological systems and their responses to perturbations across molecular, cellular, and physiological scales.
Quantitative pharmacology
We use quantitative pharmacology approaches to integrate experimental data with mechanistic models, supporting simulation, prediction, and model-informed experimental design.
Biologics and recombinant proteins
We study the structural, kinetic, and functional properties of biologics and recombinant proteins, with the goal of linking structure, dynamics, and biological effect through model-guided experimental optimization.
Modeling approach
Our work combines in vitro experimental data, literature-derived data, mechanistic mathematical models, parameter estimation, simulation, prediction, and model-informed experimental design.