Engineer at T-INSIL start-up
Short bio
Expert in mathematical modeling and method development for complex physical phenomena (fluids,granular matter flow, living matter). Software development (C++/python) and data analysis(matlab/python).
Research interest
Interested in numerical models and new conceptual ideas, applications from industry to medicine. The software and models that I have developed so far address granular matter dynamics (powders and grains), (bio-) fluids and cellular tissues.
I currently focus on the development of accurate cell-based models, which are methods to predict collective behavior from individual dynamics controlled by rules or differential equations. Applications: cell tumor growth, tissue regeneration, tissue development, biotech .
Publication Highlights
- A quantitative high-resolution computational mechanics cell model for growing and regenerating tissues.
P. Van Liedekerke, J. Neitsch, T. Johann et al.
Biomech Model Mechanobiol 19, 189–220 (2020). - Quantitative modeling identifies robust predictable stress response of growing CT-26 tumor spheroids under variable conditions.
P. Van Liedekerke, J. Neitsch, T. Johann, K. Alessandri, P. Nassoy and D. Drasdo
Plos comp. (2017) - Simulating tissue mechanics with Agent Based Models: concepts and perspectives.
P. Van Liedekerke, M. Palm, N. Jagiella and D. Drasdo
J. Comp. Part. mech2 (2015, invited review).
