Scientific Directors
Dr. Nava Tintarev
Full Professor in Explainable AI at Maastricht University, Faculty of Science and Engineering, Department of Advanced Computing Sciences
Dr. Maarten de Rijke
Distinguished University Professor of Artificial Intelligence and Information Retrieval at the University of Amsterdam
Industrial Lead
Dr. Daan Odijk
Head of Data&AI at RTL
Dr. Miguel Patrício Dias
Role: Team Manager of the Data Science at RTL.
Bio: Miguel is originally from Portugal. After completing his PhD in Eindhoven, he worked as a researcher and as a professor in different universities in Portugal. Then he moved back to The Netherlands, where he joined Booking.com as a Data Scientist first and later became a Data Science Manager. He was the Head of Data Science and Analytics at two different start ups and now is working at RTL.
Lab Manager
Dr. Mirela Popa
Assist. Prof. in Computer Vision at Maastricht University, Faculty of Science and Engineering, Department of Advanced Computing Sciences
Lab Members
Prof. Dr. Sally Wyatt
Professor of Digital Cultures at Maastricht University, Faculty of Arts and Social Sciences
Dr. Annika Richterich
Associate Prof. at Maastricht |University, Faculty of Arts and Social Sciences, Literature & Art
Dr. Vlad Niculae
Assist. Prof. in Machine Learning and Natural Language Processing at University of Amsterdam
Dr. Francesco Barile
Assist. Prof. in Recommender Systems at Maastricht University, Faculty of Science and Engineering, Department of Advanced Computing Sciences
PhD Students
PhD student in speech recognition supporting automatic subtitling in TV at University of Amsterdam, the Netherlands.
PhD student in full-page personalization, specifically focusing on unbiased and diverse video recommender systems, at the University of Amsterdam in Amsterdam, the Netherlands.
Bio: Jingwei has a BSc degree from Central South University in Changsha, China, and a MSc degree from Radboud University in Nijmegen, the Netherlands, both in Data Science.
PhD student in Computer Vision, focusing on video summarization and trailer generation techniques at Department of Advanced Computing Sciences (DACS), Faculty of Science and Engineering, Maastricht University.
PhD student at FaSoS
Bio: Dan settled in Maastricht 7 years ago to study the Ba Arts & Culture at UM, an interdisciplinary humanities/social science degree that introduced her to the field of Science and Technology Studies (STS). Having fallen in love with STS, she stayed in UM to do the MSc Cultures of Arts, Science, and Technology. Throughout her studies she was often interested in exploring the intersection of epistemology, technology, and politics.
PhD student at DACS, Maastricht University, working on designing a fair and transparent ad recommendation system for a VOD platform. The key challenge of her work is finding the right balance between the needs of all stakeholders: viewers, advertisers, and the platform itself.