Inés Fernández Vallejo is a Sound and Image Engineer and a PhD candidate in Computer Science and Technology at Universidad Carlos III de Madrid (UC3M), where she works as a predoctoral researcher on the SenseBEAT project. This project explores the use of sensors, wearable devices, and artificial intelligence to study bodily perception and emotional states associated with depression through auditory stimuli.She holds a Master’s degree in Health Information Engineering, with specialization in artificial intelligence, deep learning, signal processing, medical imaging, and natural language processing. Throughout her career, she has collaborated with institutions such as Universidad Politécnica de Madrid, the Gregorio Marañón Health Research Institute, and UC3M, developing technological solutions in fields like psychiatry, neurology, and medical education. Beyond academia, she mentors young women in STEM through various programs and volunteers in initiatives that promote gender equality in science. She is deeply committed to using technology to improve people’s lives and health in an accessible, inclusive, and socially impactful way.