Summary
Martin Carrasco is a doctoral student and researcher with 11 years of experience at the intersection of topological and geometrical deep learning, currently pursuing an ELLIS PhD at the Université de Fribourg. With a strong AI training from the University of Amsterdam and VU Amsterdam and hands-on research work in extractive text summarization, he blends graph- and geometry-focused methods with an active interest in NLP. He has taught and mentored students in operating systems, helped found and manage an IEEE Computer Society chapter, and brings practical academic leadership to collaborative research projects. Based in Fribourg, Switzerland, Martin is notable for combining theoretical topology-informed ML approaches with applied NLP experiments, signaling a rare cross-disciplinary focus that aims to make geometric insights useful for real-world language tasks.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science, Artificial Intelligence, Master of Science, Artificial Intelligence at University of Amsterdam
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at UTEC - Universidad de Ingeniería y Tecnología