Camila Rodriguez Martinez is a Computer Science and Technology Engineering student at ITESM, driven by her passion for deep learning and its applications in neuroscience. She has worked on computational biology projects, leveraging programming tools like Python, C++, and MATLAB to analyze complex datasets and develop innovative solutions. Her academic background also includes experience in computational modeling, machine learning techniques, and the development of predictive algorithms. Camila is particularly interested in using artificial intelligence to address challenges in healthcare and research, with a focus on improving diagnostic accuracy and advancing our understanding of complex biological systems. At the Fetal-Neonatal Neuroimaging and Developmental Science Center, Camila is excited to merge neuroscience and technology to analyze brain development and contribute her skills to cutting-edge studies that enhance neonatal care and improve patient outcomes.