Our team comprises some of the best minds in psychological profiling and AI technology. They combine their backgrounds and skills to power our unmatched technology.
Read their stories!
Marc is Chief Scientific Officer at Symanto, where he joined in 2016. In this role, he works together with his team to provide our data analysis platform with novel solutions based on the latest techniques of artificial intelligence, natural language processing, machine and deep learning.
He has more than ten years of experience as a researcher in projects related to multilingual natural language processing and information retrieval. Those projects allowed him to acquire a strong background in machine and deep learning, data science, analytics, and mining.
He obtained his PhD in computer science in the Universitat Politècnica de València (Spain), where he also obtained his Engineer’s Degree in Computer Science and his Master’s Degree in Artificial Intelligence, Pattern Recognition and Digital Image.
I am a Research Scientist at Symanto since September 2018. Previously I have been member of Pattern Recognition and Human Language Technology (PRHLT) research center, where I worked on statistical machine translation task. I have obtained my PhD from Univeritat Politècnica de València for my work on advanced techniques of domain adaptation in machine translation. My long term research goal is to develop natural language processing techniques to build learning systems with little human supervision.
Machine learning, Deep learning and natural language processing
Thomas is an NLP researcher with more than 10 years of experience in academia and industry. He worked on structured prediction and language modeling for morphologically rich languages and received his PhD from the university of munich. From 2015 to 2021 he worked at Google Research in Zurich working on semantic parsing for Youtube, Web Search and the Google Assistant as well as academic research on table understanding. At Symanto, Thomas is working on few-shot text classification and mental health risk prediction on social media.
I am working as a Psycholinguist & Inhouse Consultant at Symanto. I am responsible for encoding psychological theories in machine-readable psycholinguistic models and supporting product and commercial departments for industry cases. I hold a PhD degree in Media Psychology from University of Tuebingen. Before joining Symanto, I was a Research Associate in the Knowledge Media Research Center (Tuebingen) working for the AFEL (Analytics for Everyday Learning) consortium funded by EU HORIZON 2020.
Guillermo is a Research Engineer at Symanto since April 2021. He worked 2 years in the academic field on digital signal processing and computer vision for material characterization at Institute of Telecommunications and Multimedia Applications (iTEAM) from Universitat Politécnica de Valencia (UPV).
Since 2018, in several industry companies he has been part of R&D areas where he developed data-driven solutions based on Deep Learning and Statistical modeling approaches, mostly within the Natural Language Processing (NLP) field. From 2019 to 2021 he worked at Telefónica R&D on Natural Language Understanding (NLU) components for their Virtual Assistant such as text classifiers, entity recognizers and search engines.
At Symanto, he works on research solutions for text classification in scarce data scenarios and data analytics for the people’s wellbeing.
Angelo is a Research Scientist at Symanto Research since October 2018: he works on building classification models and internal ML tools. He previously worked in the Bixby Team for Samsung, where he took care of the NLG module for Italian. He is an Erasmus Mundus Language and Communication Technology alumnus and obtained a master in Linguistics from the University of Groningen (The Netherlands) and a master in Computer Science from the University of Malta (The Maltese Islands). He worked on detecting language variation using syntactic features and neural models.
Natural Language Processing
Ian is a Product Data Scientist at Symanto since June 2022. Having worked as a consultant in the financial valuation and banking sectors using different valuation models and discovering the ins and outs of the corporate banking institutions.
Slowly building up his curiosity for Data Science with various training programs in the companies he worked & other self-disciplinary methods to further approach the world of data he decided to turn his career and step into a Data Science Bootcamp to enhance and consolidate himself as a Data Scientist.
At Symanto he applies his financial background and Data Science tools for finance related products, not only with traditional ML models but also specializing in NLP and Network analysis.
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