Germán Alexander Garzón Losik

Co-founded and lead the association, bringing together a community of 100+ members from academia and industry. Established strategic partnerships with universities and industry players, and lead outreach initiatives.

Taught Nuclear Energy in a postgraduate specialization and a Master's program in energy.

Compared 2 numerical modeling methods (Lattice Boltzmann and Pore Network Modeling) on 4 porous samples, assessing accuracy, computational efficiency and industrial applicability to support method selection for a Carbon Capture and Storage (CCS) project. Developed the models in Python and found that Pore Network Modeling significantly reduced computation time.

Processed and analyzed data from experimental campaigns with Python, including image processing for particle size distribution, applying statistical analysis and visualization to calibrate models and optimize process conditions. Carried out process engineering, commissioning and validation of a pilot plant for uranium separation and purification, taking a hydrometallurgical technology from Technol

Designed and validated solid-liquid reactor models from experimental kinetic data, assessing process performance under conditions representative of industrial operation. Solved population balance equations in MATLAB to model the dissolution of solid particles, coupling chemical kinetics and diffusion limits. Conceived and sized a novel fluidized-bed reactor for dissolving nuclear fuels in nitric a

PhD in Chemical and Process Engineering from the University of Lorraine, France, from 2019 to 2023.

MSc in Nuclear Engineering with a focus on the fuel cycle from Paris-Saclay University, France, from 2017 to 2019.

Chemical Engineer degree from Universidad Industrial de Santander, Colombia, from 2013 to 2017.