MIT in Entrepreneurship, Manuel worked for major automobile manufacturers and power co-generation in the UK in the 90’s with postings in Argentina, Mexico and his native Spain. His background in machine translation comes from his mission to automate language processes for B.I Corp., the Japanese corporation for which he was European Director from 1998-2005. Since, he has focused on the development of Natural Language Processing technologies to provide process automation and true value to clients. A frequent speaker at industry events, Manuel’s areas of interest cover statistics, deep neural networks, adaptive technologies, pattern recognition and deep learning applied to Natural Language Processing.
His interest in data acquisition led him to make of Pangeanic a founding member of TAUS and data-sharing initiatives.
Manuel is also committed to supporting NGO actions like the Malima Project for primary education in Central Africa, as well as Translators Without Borders, medical research into rare diseases and sports events. Manuel is a double graduate from Manchester University.
Amando is a seasoned executive with experience in security systems and cybersecurity for the banking sector after 15 years at IBM (France, Watson Center (US), Spain, and Indonesia). He has also run partnerships with CISCO and CapGemini.
He has a background in internet projects and platform building, security and on-line distributed environments, distributed infrastructure management, building workflows and Document Management Systems. Amando has made use of his extensive experience in digital infrastructures to advance the PangeaMT platform.
Anna is an experienced legal professional with over 20 years experience in the HR and IP fields. She is a member of several legal associations in Spain.
She has worked as an external consultant for different companies in anonymization / GDPR, personal data and social networks, copyright and accessory services, e-Commerce and Forms of preventive and reactive protection (Enforcement).
Anna was responsible of NEC TM’s legal Framework Agreement so European Public Administrations can request bilingual data back from translation contracts in the EU and share public data.
Ángela joined Pangeanic in 2019.
After graduating in English Studies, she completed her Master’s degree in Translation and New Technologies in 2019. She started at Pangeanic as a translator and given her interest in new technologies and machine translation applications, she became project manager in the company’s technology department. Now she combines Production Management at Pangeanic with the management of projects focused on new technologies.
Ángela also participates in the European project MAPA (Multilingual Anonymisation for Public Administrations) coordinating data annotations in different languages.
Mercedes is the chief research scientist in Pangeanic. She researches and develops PangeaMT-ECO providing neural machine translation, anonymization, text classification and information retrieval from documents.
She participates in developing NTEU, MAPA and Europeana CEF projects. Her PhD was obtained at the University of Le Mans in France and is about factored models using linguistic information in neural machine translation.
She has also taken specialized courses in neural networks, machine translation, translation technologies, and research on the translation process. In addition, she has more than 50 scientific publications in international journals and conferences.
French-born mathematician, Laurent is a curious mind always up to a challenge. “Continuous learning” is his motto, which translates into imaginative, problem-solving and client-focused solutions.
Soon after graduating, Laurent fell in love with the poetry of code and his life-long passion for software engineering was born. He has specialized in practically all computer languages for the last 15 years. “What I love most is to put into practice the research I do”, he says.
His most recent passion is how Artificial Intelligence will impact [positively] our lives and how it can enhance our capabilities, particularly in the language field and in general in most NLP disciplines such as knowledge management, NER, anonymization and machine translation.
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