Raul Vazquez is an applied mathematician and postdoctoral researcher based in Helsinki with eight years of experience developing multilingual and multimodal NLP systems. His work spans decoding strategies, evaluation methods, knowledge distillation, and uncertainty propagation in neural models, grounded in a PhD in Computational Linguistics and multidisciplinary MSc training in mathematical modelling. He has led ERC- and Academy-funded projects advancing massively multilingual translation and multimodal inputs (speech, images, video), and has held visiting roles at MBZUAI and the University of Amsterdam. Prior to academia he built ML-driven remote-sensing and production-optimization systems for government and industry, blending statistical rigor with practical deployment. Curious and lifelong-driven to learn—his GitHub motto reflects a researcher's mindset—he connects deep optimization and representation learning to real-world NLP challenges. Colleagues value his ability to translate complex probabilistic modelling into robust, multilingual tooling.
8 years of coding experience
3 years of employment as a software developer
Exchange Studies, Mathematics and Statistics, Exchange Studies, Mathematics and Statistics at Universität des Saarlandes
MSc Technomathematik, Computational and Applied Mathematics, MSc Technomathematik, Computational and Applied Mathematics at University of Hamburg
MSc Ingenieria Matematica, Mathematical Modelling and Optimization, MSc Ingenieria Matematica, Mathematical Modelling and Optimization at Università degli Studi dell'Aquila
PhD Computational Linguistics, Field of Study: NLP, Machine Translation, Generative Language Models, PhD Computational Linguistics, Field of Study: NLP, Machine Translation, Generative Language Models at University of Helsinki
Bachelor of Science (BSc), Applied Mathematics, Bachelor of Science (BSc), Applied Mathematics at Instituto Tecnológico Autónomo de México
Contributions:2 reviews, 180 commits, 69 PRs in 3 years 9 months
neural-machine-translationpytorch
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