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 Senior Research Scientist at Symanto Research, leading and working on several projects that combine psychology and Artificial Intelligence. My current focus is on building reliable deep learning models for personality detection and natural language generation systems for personalized messaging.
Before joining Symanto, I was working as a post-doc research scientist at the University of Mannheim, on a large multidisciplinary project joining AI/NLP and social sciences.
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.
Gretel is a Junior Research Scientist at Symanto. Her work is focused on natural language processing and deep learning. She is a third-year PhD student in the Universitat Politècnica de València. Previous to Symanto, she has been a member of Pattern Recognition and Human Language Technology (PRHLT) research center, where she worked in the area of multilingual and multimodal hate speech detection.
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.
I am working as Psycholinguist & Inhouse Consultant at Symanto Research, where I am responsible for investigating on psychological models which we could apply onto our artificial intelligence. My focus is on the detection of personality through natural language.
I studied psychology and have a masters in industrial and organizational psychology.
Take a deep dive into the research behind AI psychology and natural language processing.
Get in touch today and understand your data like never before.