Maria Liakata


Maria has a DPhil from the University of Oxford on learning pragmatic knowledge from text and her research interests include text mining, natural language processing (NLP), related social and biomedical applications, analysis of multi-modal and heterogeneous data (text from various sources such as social media, sensor data, images) and biological text mining. Her work has contributed to advances in knowledge discovery from corpora, automation of scientific experimentation and automatic extraction of information from the scientific literature. She has published widely both in NLP and interdisciplinary venues.

Maria is researching NLP for social science. She holds an IBM Faculty Award for studying “Emotion sensing using heterogeneous mobile phone data” and is a co-investigator on the EU Project PHEME, which studies the spread of rumours in social media. She is also a co-I on an IBM Faculty award for developing a course on Big Data ethics. Maria is leading a project funded by the Warwick Innovation Fund to diagnose and monitor dementia using text analysis. She has been recently appointed Faculty Fellow at the Alan Turing Institute where she plans to work on methods for combining heterogenenous textual and non-linguistic data for understanding mental health.

Previously she held an Early Career Fellowship from the Leverhulme Trust (2010-2013) on reasoning with scientific articles

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