I joined the Process Intelligence Research group as an associated PhD on May 2026. My research areas include machine learning, modeling and simulation, process intensification, and sustainable technologies. During my studies, I initially focused on process engineering, particularly in the areas of water and wastewater treatment. Later, during my master’s degree, I specialized in machine learning and deep learning, with a focus on real-world applications of these technologies. Currently, I aim to bridge the fields of process engineering and computational sciences by integrating the knowledge and experience I have gained throughout my academic journey.