At CERN’s experiments, like those at the Large Hadron Collider, huge amounts of data are created every second, far more than could ever be stored or examined by hand. Special computer systems are needed to quickly spot and save the most interesting events, helping scientists make new discoveries about the fundamental nature of the universe. My work focused on making these systems faster and smarter by improving the algorithms that decide which pieces of data to keep, allowing them to process more information in less time. I also developed new ways for computers to recognize unusual patterns using machine learning, which is not only for scientific data but also for industrial uses like detecting problems in machinery, showing how these powerful tools can solve real-world problems. 

I have had a long interest in physics, especially high energy physics, due to its use of cutting-edge computing technologies. During my undergraduate studies in particle physics I grew very interested in machine learning and how it could benefit our experiments. Therefore, I felt that the SMARTHEP program was a perfect match for me and I am so excited to learn more about these technologies while working together within this amazing network. This PhD will be an amazing opportunity to develop numerous skills that I will use no matter whether I will continue my career in academia or industry.