Summary
Daniel Loureiro is a Staff Machine Learning Scientist based in Portugal with 10 years of experience bridging academic NLP research and product-grade AI. He holds a PhD from the University of Porto and has first-author publications in ACL, EMNLP, AIJ and others with 1k+ citations, reflecting a deep track record in sense representation and temporal adaptation of language models. After founding and exiting a VC-backed startup focused on content recommendation, he led data science and product efforts across startups and academia, gaining hands-on full-stack and cloud deployment experience. At Zendesk he now leads RAG product work, applying retrieval-augmented generation to real-world agents and customer workflows. He combines leadership of small engineering teams with rigorous research instincts—evident in organizing shared tasks like TempoWiC—and practical skills in synthetic data, image integration, and production ML pipelines. Outside work he lives in sunny Portugal and balances technical depth with entrepreneurial grit and family life.
10 years of coding experience
10 years of employment as a software developer
High School, High School at Colégio Luso-Francês
Machine Learning, Machine Learning at Lisbon Machine Learning School 2013
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade do Porto
English, Portuguese