I am a researcher in computational mechanics with a focus on granular materials and their impact on environmental and industrial systems. My work combines physics-based modeling, high-performance computing, and experimental validation to develop predictive methods for complex particulate systems. With applications spanning pharmaceuticals, civil engineering, and natural resource management, I aim to bridge fundamental science with practical impact. I am also committed to open-source software development and fostering inclusive scientific collaboration.
Ph.D. Computational Methods for Materials Science
University of Cambridge
M.Phil. Scientific Computing
University of Cambridge
M.Sc. Chemical Engineering
Eindhoven University of Technology
B.Sc. Biomedical Engineering
Eindhoven University of Technology
I develop both numerical and experimental methods to better understand granular materials such as sands and powders. My long-term goal is create a numerical-theoretical framework that can prediction mechanical behaviours such as compression, flow, and seepage using only a tiny amount of material, say a sugar cube in volume, for calibration. I apply my methods to industrial processes (e.g. pharmaceutical powder compression) and natural systems (e.g. slope stability) to shorten development times as well as improve safety and sustainability.
Feel free to reach out! 😃