Personal info

PhD Student

Inés Fernández Vallejo is a Sound and Image engineer, with a Master’s degree in Machine Learning for Health from UC3M and she is currently a PhD student in the Computer Science and Technology Department, as a member of the i_mBODY lab.

Inés has participated in innovative research projects where she contributed to creating virtual environments for medical education in obstetrics in collaboration with universities in Paris, Brussels, Pamplona, and UC3M. She also worked on developing multimodal models that combine voice, video, and transcript data to detect trauma in children and adolescents, in partnership with UC3M and the Psychiatry Group of the Gregorio Marañón Health Research Institute. The last notable project where she has worked is at the UPM, where she has focused on detecting Parkinson’s disease through voice formants; her work in this area was presented at the MIT's Automatic Assessment of Parkinsonian Speech conference in 2024.

Her passion for technology and research, along with her curiosity and creativity, drive her to continue innovating and exploring new possibilities for using technology to improve lives, particularly in healthcare applications.