Joost Beltman is assistant professor at the Division of Drug Discovery & Safety.
My PhD project (2000-2004) was performed in the Theoretical Biology group of the Institute of Biology (IBL) at Leiden University, supervised by Patsy Haccou, Hans Metz and Carel ten Cate. The topic was modeling of the impact of learning processes on evolutionary processes.
From 2005-2011, I worked as a postdoc in the Theoretical Biology and Bioinformatics group headed by Rob de Boer at Utrecht University (from 2008-2011 on an NWO Veni grant). I investigated the dynamic nature of cell migration and cell-cell interactions as can nowadays be observed by in vivo imaging approaches. We developed novel approaches for the quantitative analysis of such dynamic imaging data as well as incorporating experimental data into computational cell migration models. Our questions were related to the functioning of our immune system, e.g., T cell migration, T cell-dendritic cell interactions, recruitment of T cells into the immune response, B cells migrating within germinal centers and the killing of target cells by cytotoxic T lymphocytes.
From 2012-2014, I was a senior postdoc/research associate in the group of Ton Schumacher in the Immunology division of the Netherlands Cancer Institute (NKI). Apart from continuing my work on the modelling of T cell migration, I also worked on the analysis of cellular barcoding data in which cells have a unique DNA barcode that allows to follow how much offspring they generate. In 2013, I was awarded an NWO Vidi grant.
In 2014, I became an assistant professor in the Division of Toxiciology at the LACDR. My general research interest here is to apply computational models and quantitative analysis to dynamic imaging data. Furthermore, we work with cellular barcoding data, which also provides information on the behavior of single cells. We are interested in the following topics:
- Cell migration in the immune system and in cancer metastasis
- The role of T cells in infections and cancer
- Cellular barcoding data quantifying the output of single cells
- Modeling of cellular stress responses