Azza Jenane is a doctoral candidate in machine learning in oncology at the German Cancer Research Center (DKFZ). During her master’s studies at the Technical University of Munich and EPFL, she gained practical experience in applied machine learning and large language model engineering. Her master’s thesis at CARIAD investigated efficient fine-tuning of small language models for on-edge deployment and the generation of high-quality synthetic data in resource-constrained environments. Her current research at DKFZ focuses on uncertainty quantification and estimation for trustworthy AI.