Studying physics made me discover my passion for modelling, statistics, and data analysis. While I am currently finishing my master’s degree, I am also taking extra courses in machine learning and programming to further improve myself and continue working on exciting projects in the future!During my master’s thesis, I worked on speeding up an existing simulation that models turbulence in plasma, specifically for tokamaks. For this project, we used a combination of deep learning and active learning to reduce neural network training time and increase the number of variables usable in the pipeline to better model plasma behavior. I found it great to be able to contribute to fusion energy research by working on such a project, and want to continue working on projects relevant to the energy transition. Alongside my studies, I also worked on proof of concepts at Inventeers. Concretely, I worked on supplemental LED lighting in greenhouses and projects related to food sorting. At this company I was also given the chance to work on some data science projects. I find getting the most out of data fascinating and this led me to take more courses in this direction in my master’s program.