I’m originally from Colombia, where I studied civil and agricultural engineering and pursued a master’s degree in water resources engineering. Subsequently, I relocated to Italy for my PhD, during which I engaged in various research and industrial projects. These experiences equipped me with knowledge in numerical simulations and data-driven techniques applicable in environmental sciences, spanning from nanoscale to regional scale studies. My expertise lies in diagnosing numerical models through Sensitivity Analysis Techniques, constructing models of reduced complexity for stochastic analysis, and optimizing under uncertainty. Throughout my career, I have extensively utilized programming languages such as Python and MATLAB, along with operating systems like Linux. Additionally, I have hands-on experience in High-Performance Computing systems, including mid-level servers and supercomputers. Currently, I am focusing on regional-scale integrated hydrology simulations to promote the sustainable use of water resources. My goal is to forge a career path that bridges Industry and Academia by leveraging state-of-the-art numerical and computational techniques in environmental applications, I aim to mitigate the inherent uncertainty of natural systems and provide support for decision-making processes.