Kristina Hettne (1978), PhD, is a senior researcher at the Leiden University Medical Center in Leiden, The Netherlands.
She obtained her master in computer science from Skövde University in Sweden in 2003 and shortly thereafter joined the computational toxicology group at AstraZeneca R&D in Mölndal, Sweden as a research scientist. In 2006, she moved to the Netherlands to pursue her PhD degree in bioinformatics of toxicogenomics, which she obtained from the University of Maastricht in 2012. Her seminal paper in 2009 on text mining for chemical entities using a dictionary of integrated resources is considered a reference resource in the broad field of text mining. In 2011 she joined the BioSemantics group at the Leiden University Medical Center as postdoctoral researcher, in which she since 2015 leads the research on knowledge discovery applications.
During her time at the Leiden University Medical Center she has developed resources and methods for in-silico knowledge discovery in the biomedical domain, integrated prior knowledge from literature with statistical pathway analysis methods to analyze and integrate -omics data, and contributed to setting standards for providing resources and methods to the research community in a Findable, Accessible, Interoperable and Re-useable (FAIR) way. Her current research interest are in-silico prediction of biomedical relations, multi-omics analysis, and drug discovery.