Pascal R. Buenzli

This paper uses mathematical models to investigate T cell differentiation pathways during ex vivo expansion, finding that differentiation is dynamic and not unidirectional, with implications for improving adoptive T cell therapy.

This paper develops a theory of bone mechanosensing and adaptation based on osteocytes, showing how setpoint adaptation during remodelling affects bone response and may lead to hysteresis.

This study develops a likelihood-based workflow to predict extinction risk in bistable populations using noisy count data, showing that data quality and quantity significantly affect prediction accuracy.

This study develops a mathematical model to show how curvature-dependent tissue growth arises from cell crowding and mechanical interactions, predicting pore closure scaling with size and shape.

This paper develops a one-dimensional computational model of bone mechanical adaptation based on osteocyte network dynamics and signal propagation, revealing new adaptation behaviors and thresholds.

This paper presents a computational model to simulate tissue growth by integrating geometry, mechanics, and stochastic processes, demonstrating its application to 3D-printed scaffolds and bone formation in cortical pores.

The paper models T cell expansion in micro-rod scaffolds using stochastic and continuum approaches, finding that homogeneous scaffolds and IL-2 loading enhance expansion.

The paper quantitatively analyzes osteon morphology to test hypotheses about cortical bone remodeling mechanisms, finding age-related asymmetry and identifying key factors influencing wall thickness.