• Employed time series analysis and PCA on mass spectroscopy data to predict trends, enhancing project forecasting capabilities. • Trained CNN models on large microscopy datasets, significantly improving workflow efficiency for client projects. • led and contributed to 15 projects and 6 publications, showcasing the application of quantitative analysis to experimental data for academic and industrial clients. • Achieved a 20% reduction in experimental costs through strategic use of materials computation/ software analysis, leading to increased client satisfaction and project profitability.

• Utilized regression models and computation to predict material behavior, validated with complex experiments. • Led a multinational project collaboration among institutes in Portugal, the Netherlands, and Switzerland, involving multiple in-person visits to ensure project alignment and success.

• Provided service and consulting to CICECO, I3N, and TEMA and contributed to two national projects including CERN. • Explored underlying physics of materials using computation and modeling of experimental data (1 publication).