Co-Author Proposal for the EU Horizon 2020 Research & Innovation Action (RIA) project SHIFT; Participant in the DFG (German Research Foundation) Reinhart Koselleck-Projekt AUDI0NOMOUS.
Research Experience
A researcher at the Chair of Health Informatics from the Technical University of Munich (TUM) University Hospital, Munich (Germany), working under the supervision of Prof. Dr.-Ing. habil. Björn Schuller; also a member of the Munich Center for Machine Learning (MCML). Participated in projects such as SHIFT and AUDI0NOMOUS.
Education
Received his B.Sc. degree in Audiovisual Telecommunication Systems Engineering from the Universitat Pompeu Fabra, Barcelona (Spain), in 2016; pursued his M.Sc. degree in Electrical Engineering at the University of Colorado, Colorado Springs (USA), where he graduated in 2018; currently a Ph.D. Candidate at the School of Computation, Information and Technology of TUM.
Background
Research interests include Artificial Intelligence, Affective Computing, Digital Health, and mHealth, aiming to computationally understand human states and traits using multimodal and ubiquitous computing solutions.