The Quantitative Pharmacology group headed by Coen van Hasselt focusses on the application of state-of-the-art quantitative pharmacometrics and systems pharmacology modeling combined with translational experimental models to develop personalized treatment strategies for antibiotics and to combat antimicrobial resistance.
Bacterial infections & antimicrobial pharmacology
Our research is primarily focused to optimize treatment of bacterial infections using antibiotics, aiming to integrate optimal drug exposure in different patient populations, personalized immune response biomarkers, and bacterial growth kill dynamics. Through this integration we believe antimicrobial dose regimens can be further optimized leading to optimal efficacy and minimal resistance development. To these aims, we apply a tight integration between computational modeling and experimental work.
Expertise & facilities
In our group we have expertise in the areas of modeling in pharmacometrics & systems pharmacology, bioinformatics analysis of omics data, basic molecular biology approaches, and antibiotics PK/PD experiments. We have a fully equipped experimental laboratory and a dedicated high performance computing cluster. All our work is done according to FAIR principles.
Internships and positions
We have projects available for motivated 6-9 month internship students with an interest in computational modeling in the area of antimicrobial pharmacology or with interest in experimental approaches to characterize antibiotic PK-PD and resistance. Drop us an email if you are interested. Positions for PhD students and postdocs are always posted at the Leiden University vacancies page. However, if you can secure your own funding through scholarships or grants please let us know.
2020-2024: H2020 MSCA ITN-ETN project (Coordinator): TIPAT: Training towards Innovative Personalized Antibiotic Therapy (TIPAT)
2019-2020: ZonMW Off Road grant (PI): “Combination dose regimens to prevent antimicrobial resistance”
2017 - 2021: ZonMW ABR grant (PI): Metabolomic biomarkers of bacterial infection
2017 - 2018: ZonMW ETH grant (PI): Whole genome sequencing of antimicrobial resistance
2015 - 2018: H2020 Marie Curie Individual Fellowship (PI): Systems pharmacology