Caleb Rascon is a researcher in the Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). He received his bachelors degree in Electronic Systems Engineering in ITESM, and his Ph.D. in the University of Manchester. He was awarded as an Innovator under 35 in the Mexico 2014 edition of the MIT Technology Review, and has authored several papers and conducted keynotes on the topic of robot audition and auditory scene analysis. His other research interest are machine learning and service robotics.