Summary
Cristina Luna-Jiménez is a post-doctoral researcher with 11 years of experience developing multimodal machine learning solutions across audio, visual and text domains, currently at the University of Augsburg’s Chair for Human-Centered AI. Her work spans emotion and trustworthiness modeling, diarization and, most recently, Sign Language Recognition, blending supervised and unsupervised approaches grounded in telecommunications engineering. Trained at Universidad Politécnica de Madrid with international experience at KU Leuven, she combines deep academic rigor (PhD, Cum Laude with international mention) with hands-on engineering in Python and C. She regularly contributes code and open projects via her GitHub and leads reproducible research practices within collaborative lab teams. Known for creativity, perseverance and clear scientific communication, she also brings teaching experience and a knack for translating perceptual models into deployable experiments. Her profile reflects a rare mix of signal-processing roots and human-centered AI applied to accessibility and affective computing.
11 years of coding experience
2 years of employment as a software developer
Doctorado en Ingeniería de Telecomunicaciones, Telecommunications Engineering, Sobresaliente - Cum Laude - Mención Internacional, Doctorado en Ingeniería de Telecomunicaciones, Telecommunications Engineering, Sobresaliente - Cum Laude - Mención Internacional at Universidad Politécnica de Madrid
English, German