Rafael Frade
AI Researcher at Newtral
Madrid, Community of Madrid, Spain
Summary
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Senior🎓
Top SchoolRafael Frade is an AI researcher and PhD candidate at Universidade de Santiago de Compostela affiliated with Newtral, specializing in automated fact-checking and multi-modal information retrieval. With 11 years of software and research experience spanning industry roles at Accenture and Indra to research assistantships at Sciences Po and LSE, he blends strong engineering skills with rigorous econometric and NLP methods. His work focuses on neural retrieval, contrastive learning, and natural language inference across language and vision models, aiming to make verification scalable and robust. Comfortable managing large datasets and building reproducible research code, he combines academic depth with practical deployment experience in media-focused AI. An economist by training (MA, Central European University) and social sciences bachelor, he brings a rare interdisciplinary perspective to automated misinformation detection.
11 years of coding experience
7 years of employment as a software developer
Master of Arts - MA, Economics, Master of Arts - MA, Economics at Central European UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade de Santiago de CompostelaUniversity of São PauloProgramming languages (3)
Github contributions (5)
rfrade/controle
Mar 2015 - Sep 2020
Project to manage orders and clients for representatives of clothing companies
Contributions:12 pushes in 5 years 6 months
reactfxmlclothingspringnodejs
rfrade/analysis_of_financial_time_series
Mar 2019 - Jul 2020
Contributions:4 commits, 3 pushes, 2 branches in 1 year 4 months
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