Lijing Lin

Lijing Lin is a Lecturer in Data Science Technology at the Division of Informatics, Imaging & Data Sciences (L5). She holds a Doctor of Philosophy in Numerical Analysis from The University of Manchester (2011). Her research expertise spans Numerical Analysis, Scientific Computing, Machine Learning, and Clinical Prediction Research, with affiliations to the Institute for Data Science and AI and the Christabel Pankhurst Institute Biotechnology.

Her research focuses on computational methods for integrative analysis of multiomics data, causal inference in healthcare, and immune response modeling. Notable contributions include work on matrix factorization techniques (e.g., TriTan method), CFTR modulator therapy effects, and asthma pathogenesis via rhinovirus infection studies.

Recent publications highlight advancements in data integration for single-cell multiomics, intervention-based predictive models using the PREDICT-CVD cohort, and proteomic analyses in cystic fibrosis. Her work contributes to UN Sustainable Development Goals related to health and innovation.

Lin collaborates globally on topics like viral immunity and clinical decision-making frameworks. She has supervised research on matrix roots and fractional powers, and her methods are applied in epidemiology, oncology, and systems immunology.