Quantitative Systems Pharmacology

Davide Manca received the M.Sc. in 1990 and the PhD in 1994, both on “Chemical Engineering” at Politecnico di Milano (POLIMI, Italy). He is professor of Process Systems Engineering and head of the PSE-Lab at POLIMI since 2002.He is (co)author of more than 210 peer-reviewed publications on international journals and conferences with a few book chapters.In more than twenty years of academic employment, he conjugated research activityand industrial advice to make these worlds better interact and get benefit from their mutual collaboration. At the basis of Davide’s research is the modeling activity that has the quantification of what is analyzed as the final target. Design, simulation, control, optimization, and assessment are the main features that use computer algorithms and methods to produce the quantification of phenomena, processes, and plants.Davide has taught Numerical Calculus, Dynamics and Control of Chemical Processes,Process Systems Engineering. He has been the supervisor of tens of students involved in the bachelor, master, and PhD degrees.He was founder and director of R&D and Engineering department at Virthualis, a spin- off company of POLIMI, working on operator training simulation in 3D immersive virtual environments.Under his direction, PSE Lab has worked on a number of European and Italian research projects with a fruitful collaboration with international universities and companies.

1. Quantitative systems pharmacology: Extending the envelope through systems engineering
2. An engineering oriented approach to physiologically based pharmacokinetic and pharmacodynamic modeling
3. Advanced Techniques for the Optimal Design of Experiments in Pharmacokinetics
4. On the Identifiability of Physiological Models: Optimal Design of Clinical Tests
5. Bayesian hierarchical modeling of gabapentin absorption and disposition with application to dosing regimen assessment
6. Computational tools in the assistance of personalized healthcare
7. Multiscale models for transport and biodistribution of therapeutics in cancer
8. Quantitative systems pharmacology on cancer drug delivery to target sites: Application of chemical engineering tools
9. Systems engineers’ role in biomedical research. Convection-enhanced drug delivery
10. On the modeling of oral drug delivery
11. Drug delivery from polymeric matrices
12. Modeling the mechanics and the transport phenomena in hydrogels