Researcher with a PhD in Computer Science and more than ten years of experience in academic research, specializing in machine learning, deep learning, and computer vision. My research has focused on Reflectance Transformation Imaging (RTI) and material appearance analysis for cultural heritage, developing practical computer vision solutions for real-world imaging challenges. I have published several peer-reviewed journal articles and conference papers covering topics such as neural network based RTI, knowledge distillation, and deep learning-based image analysis. Alongside my research, I have taught courses at both bachelor's and master's level and supervised undergraduate and graduate students throughout their thesis projects. I also bring hands-on industry experience in full-stack software development using Vue.js, TypeScript, Java EE, and PostgreSQL. My research interests and publications focus on the measurement, analysis, and modeling of material appearance, machine learning, and reflectance transformation imaging, particularly for applications in cultural heritage.