Dr. Magnus Rattray

Biography

Magnus Rattray is a Professor of Computational Systems Biology at the University of Manchester. His research interests focus on learning models and making inferences from high-throughput biological datasets. His group develops mechanistic differential equation models and probabilistic latent variable models to uncover interesting structures in high-dimensional data. He is particularly interested in hybrid models that combine mechanistic and probabilistic approaches and uses probabilistic inference to learn model parameters, choose competing models, and identify hypotheses supported by experimental evidence. Rattray emphasizes Bayesian inference and non-parametric modeling, which provide a principled framework for addressing uncertainty in complex systems. He applies these methods to infer gene regulatory networks from time-series mRNA expression and DNA-protein binding data, and he develops novel inference algorithms for time-series data analysis in systems biology modeling. Through his work, he contributes to the understanding of biological processes that are heavily data-driven, focusing on interpreting datasets and building predictive models of biological systems using computer algorithms.

Research Interests

Experience