Summary
Martín Villalba is a computational linguist and postdoctoral researcher with nine years of experience applying NLP and machine learning to real-world problems, currently studying language changes for early detection of psychosis as part of the LAMBDA project at the University of Cologne. He combines industrial R&D experience at Bayer and an earlier research internship at IBM with solid academic credentials (PhD in Computational Linguistics, M.Sc. in Computer Science), giving him a practical yet research-driven approach to language technologies. His background ranges from system administration and independent software development to production-oriented NLP research, reflecting a rare blend of operational, engineering, and scientific skills. Comfortable in Python and C++ toolchains and experienced building end-to-end systems, he brings both hands-on implementation ability and a strong focus on translational impact in healthcare-related language analysis.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Universidad Nacional de Córdoba
Doctor of Philosophy, Computational Linguistics, Doctor of Philosophy, Computational Linguistics at Universität des Saarlandes
English, German, Spanish