Iacer Calixto is a Principal Investigator and Assistant Professor in Medical Informatics at Amsterdam UMC with 14 years of experience developing machine learning and natural language processing methods for healthcare and beyond. His research bridges multimodal language-vision models, neural and statistical machine translation, and techniques to ground generative models with structured world knowledge such as knowledge graphs and commonsense. He has a strong academic trajectory from PhD work on multimodal integration through postdoctoral positions at ILLC and NYU to leading an AI research group focused on clinical applications. Iacer combines deep theoretical expertise in optimization and fuzzy linear programming with hands-on work on multilingual and multi-task systems, reflecting a rare blend of formal methods and applied ML. Based in Amsterdam, he is notable for translating image-grounded language research into practical healthcare NLP and for mentoring interdisciplinary teams across industry collaborations and academia.
14 years of coding experience
6 years of employment as a software developer
Master's degree Natural Language Processing (Traitement Automatique de Langues TAL), Master's degree Natural Language Processing (Traitement Automatique de Langues TAL) at Université Marie et Louis Pasteur
Master of Science (M.Sc.) Computer Science (Optimization and Information Visualization), Master of Science (M.Sc.) Computer Science (Optimization and Information Visualization) at Universidade Federal de Goiás
Master of Arts (M.A.) Natural Language Processing, Master of Arts (M.A.) Natural Language Processing at University of Wolverhampton
Undergraduate Information Systems, Undergraduate Information Systems at Faculdades Alves Faria - ALFA
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Dublin City University
Contributions:15 commits, 17 pushes, 1 branch in 2 years 1 month
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