About: 

As a research scientist in the Legato team, my expertise spans several cutting-edge areas in computational biology, particularly focused on the biomechanics of knee meniscus and fluid dynamics in both living and synthetic porous media. My work involves advanced computational modelling and simulation techniques, including Computational Fluid Dynamics (CFD) simulation, turbulence modelling, and the use of high- resolution μ-CT imaging for reconstructing intricate 3D models. I am proficient in mesh-free numerical methods in fluid dynamics, such as Smoothed Particle Hydrodynamics (SPH) and the DC-PSE method, as well as hybrid Eulerian/Lagrangian methods like the remeshed SPH. A significant aspect of my research is the development and implementation of sophisticated CFD methods and the integration of implicit boundary conditions.

My primary research interest lies in the realm of computational biology, with a keen focus on understanding and modelling porous media within living tissues and their synthetic counterparts. This research has earned me several proposal grants, including the prestigious FNR core Junior grant (PorSol) valued at 510K. A key achievement in this area is the exploration of the human meniscus microstructure, which is vital for understanding knee biomechanics. Utilising high-resolution μ-CT scans and mesh-free particle simulations, my team and I have made significant strides in analysing meniscus porosity and its effects on fluid absorption. Our findings reveal that channel diameters within the meniscus significantly influence absorption rates. This insight is crucial in generating synthetic porous media, especially in the context of human knee biomechanics, thereby contributing substantially to the field of health and medical science.

Additionally, I have been awarded the FNR Industrial Fellowship (valveSol) with a funding of 145K. This project addresses the challenges in the design of medical oxygen regulators, particularly issues related to pressure surges and adiabatic compression. By employing a mesh-enhanced smoothed particle hydrodynamic method, we have achieved accurate flow simulation in complex valve systems. This method is instrumental in ensuring efficient and reliable pressure handling in medical equipment, thereby enhancing the safety and efficacy of critical healthcare devices.