Guillem is a M.Sc. student in Mathematics in Data Science at the Technical University of Munich and a Research Assistant under the supervision of Prof. Dr. Laura Leal-Taixé. He has a general interest in Machine Learning, Deep Learning and Computer Vision. Specifically, he is interested in Representation Learning on Graphs and Explainable Machine Learning.

In 2018, he obtained a B.Sc. in Mathematics with a minor in Computer Science from the University of Barcelona. During his B.Sc., he spent one semester abroad at the University of California at Davis, where he completed courses in Artificial Intelligence. He also did several internships in which he gained practical experience working as a Data Scientist. Towards the end of his B.Sc. studies, Guillem started conducting research on Interpretable Deep Learning under the supervision of Prof. Dr. Jordi Vitrià. After that, he moved to Munich to start a Research Internship at the Dynamic Vision and Learning Group.

Research interests

Deep Learning on Graphs, Explainable Machine Learning, Computer Vision