My name is Diogo Araújo, and I am a dedicated researcher currently affiliated with the Signal and Image Processing Group at the Institute of Systems and Robotics, University of Lisbon. I completed my Master's degree in Electrical and Computer Engineering at Instituto Superior Técnico, University of Lisbon, specializing in Control, Robotics, and Artificial Intelligence. Under the guidance of Professors Catarina Barata and Carlos Santiago, my master’s thesis introduced innovative methods using Vision Transformers and Multiple Instance Learning to identify key patches in dermoscopy images. The success of my thesis and its continuation in the MIA-Breast project under the supervision of Professor Jacinto Nascimento led to a paper accepted for the DEF-MIA-AI workshop at CVPR2024, further validating our research approach. Currently, we are advancing this work by investigating advanced multimodal diagnostic techniques for breast cancer, with the aim of presenting our new findings at NeurIPS2024. My academic and professional journey has been marked by consistent engagement with complex challenges, from top placements in programming competitions to the development of machine learning frameworks for business efficiency in various internships. These experiences have honed my skills in machine learning, particularly in medical image processing, which I am eager to continue developing.