Timothy Ebbels

Professor Timothy Ebbels is a Professor of Biomedical Data Science at Imperial College London’s Faculty of Medicine, leading the Section of Bioinformatics within the Division of Systems Medicine. He directs the MRes in Biomedical Research and co-leads its Data Science stream. His research focuses on computational metabolomics, integrating post-genomic technologies like genomics, transcriptomics, and metabolomics using machine learning, AI, and statistical methods. Key interests include metabolomic data integration, NMR spectroscopy analysis, and multi-omics approaches.

• Education: PhD in Astronomy (University of Cambridge, 1994–1998), BA in Physics (University of Cambridge, 1991–1994)
• Certification: Imperial College London’s Certificate of Advanced Study in Teaching and Learning (CASLAT)

Research Themes: Improving data extraction from NMR/LC-MS, predictive modeling of post-genomic data, statistical networks, time series analysis, and metabolic pathway analysis. Current affiliations include the AI for Healthcare Network and the Imperial International Phenome Training Centre (IMPaLA).

Teaching: Founded the MRes in Biomedical Research and teaches 'Hands-on Data Analysis for Metabolomics'.