Summary
Lijing Lin is a lecturer in Data Science Technology at The University of Manchester with 11 years of experience applying numerical analysis, probabilistic modelling and machine learning to healthcare and bioinformatics. She combines a PhD in Numerical Analysis with translational research roles—most recently as a Wellcome Trust Translational Research Bioinformatician and a Turing PDRA—focusing on causal inference, counterfactual “what-if” queries and predictive modelling for personalised healthcare. Her work spans scientific computing, systems immunology and large-scale statistical analysis to identify disease endotypes and molecular biomarkers from complex longitudinal data. Equally comfortable developing algorithms and implementing them in software, she has translated foundational numerical methods into applied tools for health data science. Based in England, she brings cross-disciplinary depth from academia and industry (including Unilever consulting) to bridge method development and real-world biomedical impact.
11 years of coding experience
13 years of employment as a software developer
PhD, Numerical Analysis, PhD, Numerical Analysis at The University of Manchester
MSc, Computational Mathematics, MSc, Computational Mathematics at Fudan University