Dr. Olivia Sanchez-Graillet did her Bachelor in Applied Mathematics and Computing at the National Autonomous University of Mexico (UNAM). She holds an MSc. In Computer Science and a Ph.D. in Computer Science from the University of Essex (UK) both under the supervision of Prof. Massimo Poesio and both with a focus on Natural Language Processing applied to biomedical texts.
In her previous work as a system analyst in the Mexican central bank, she participated in the development of substantial computer systems for the Mexican bank system. After obtaining her Ph.D., she worked as a Senior Researcher in the Mathematics and Biological Science Department at the University of Essex in a project sponsored by the Biotechnology and Biological Sciences Research Council (BBSRC; UK) to develop computer systems to analyze Affymetrix GeneChips data to identify post-transcriptional biological events. She was a postdoctoral fellow supported by the Mexican Council for Science and Technology (CONACYT) in Postgraduate Studies in Computer Science and Engineering at the UNAM focusing on the discovery of gene relationships based on the semantic similarity among the textual gene descriptions of microarray samples. In April 2018, she joined the Semantic Computing Group of CITEC as a postdoctoral researcher in the Priority Program Robust Argumentation Machines (RATIO) where she forms part of the project “Rationalizing recommendations in the medical domain” (RecomRatio), which develops methods based on argumentation technologies and information extraction systems for the aggregation and summarization of clinical evidence to support evidence-based medicine (EBM). Her research interest lies in the area of natural language and semantics technologies applied to the biomedical context, focusing on knowledge representation, knowledge discovery, and reasoning processes, with the aim to provide computer systems that support experts with additional explanatory evidence.