Xingrong Liu is a statistician and computational mathematician with 11 years’ experience applying and developing statistical and machine-learning methods in epidemiology and computational biology at Karolinska Institutet. With a PhD in Computational and Applied Mathematics and postdoctoral work in biostatistics, she designs models to uncover mechanisms in complex datasets, evaluate associations, and predict outcomes such as survival and disease risk. Recently she has focused on building and maintaining efficient GWAS and meta-analysis workflows to investigate genetic drivers of intestinal disease, bridging methodological development and reproducible research pipelines. Based in Stockholm, she combines deep theoretical training with hands-on bioinformatics practice and a continuing curiosity for adapting statistical approaches to evolving data.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy, Computational and Applied Mathematics, Doctor of Philosophy, Computational and Applied Mathematics at Karolinska institutet
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