Alberto Poncelas Alberto is a postdoctoral researcher at ADAPT Centre. His research interests include Machine Translation and NLP. Currently he investigates the indirect translation in NMT. He hold a PhD in Machine Translation from Dublin City University and a M.Sc. in Machine Learning from the University of the Basque Country. He has also worked as a Software and Big Data Engineer.
Albert Navarro Gallinad Albert Navarro Gallinad is a PhD student based at the ADAPT centre (TCD) and a Early Stage Researcher in the HELICAL project (MSCA-ITN). His principal research interests lie in the data aspects (suitability, access and retrieval) to support research in the environmental effects on human health. He is designing a series of steps to help health data researchers explore environmental data to understand and support rare chronic disease research..
David Woods David is a PhD student with ADAPT at Trinity College Dublin under Dr Tim Fernando and Dr Carl Vogel. His current research revolves around developing methods for classifying and reasoning about events, in the context of intelligent systems. His interests are in using NLP and Computational Linguistics to improve AI-human interactions.
Pintu Lohar Pintu Lohar is currently working as a Post Doctoral Researcher in ADAPT Centre. His area of interest is Machine Translation, Natural Language Processing and analysis of social media data.
Kieran Fraser Kieran works under the ‘Personalising the User Experience’ Theme in which he explores personalisation applied to push-notifications. His current role within ADAPT is two-fold: PhD Student & Research Engineer. Kieran has been working towards his doctorate and contributes to the EmPushy Project, which is funded by Enterprise Ireland to commercialise Kieran’s research on push-notification technology and subsequently hopes to form a spin-out company.
James Barry James is a PhD Student at the School of Computing, Dublin City University. His research focuses on natural language processing, with a particular focus on dependency parsing. He is interested in applying machine learning algorithms for multilingual applications, under domain shift and in low-resource scenarios.
Gabriel Hogan A resourceful Research & Innovation professional with extensive experience in the ICT domain. Proven strategic success in program negotiation, funding and management to deliver value to customers and stakeholders. A passionate innovator, leader and mentor. His research is focused on privacy, data provenance and consent management.
