Miguel Gaona
Postdoctoral Researcher at AMC - Academic Medical Center
Vienna, Austria
Summary
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Senior🎓
Top SchoolMiguel Gaona is a postdoctoral researcher based in Vienna with 13 years of experience developing deep generative models for text representation and neural machine translation. Currently at the HAITrans lab (Universität Wien) and concurrently affiliated with AMC, he blends Bayesian deep learning and practical translation research to tackle low-resource and related-language MT problems. His work bridges rigorous probabilistic latent-variable modeling with applied NLP tasks—entailment, document modeling, sentiment, and paraphrase identification—gained from prior roles at University of Amsterdam and Leeds. Trained with a PhD in Computational Linguistics, he brings both academic depth and hands-on research engineering, often applying models to real-world corpora like subtitles and comparable datasets. Notably, his research emphasis on unsupervised and generative approaches reveals a preference for principled models that generalize under data scarcity.
12 years of coding experience
3 years of employment as a software developer
The National Polytechnic Institute of MexicoPhD Computational Linguistics, PhD Computational Linguistics at The University of Wolverhampton
Github Skills (2)
nlp7
natural-language-processing6
Programming languages (1)
Github contributions (5)
mriosb08/mriosb08.github.io
Sep 2015 - Sep 2023
cts-site
Contributions:2 PRs, 82 pushes, 2 branches in 8 years 1 month
cssreactcts
uva-slpl/nlp2
Apr 2017 - May 2019
Contributions:250 commits, 249 pushes, 1 tag in 2 years 1 month
nlpnatural-language-processing
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