Michael Bodkin

Michael Bodkin is a Professor of Biomedical Data Sciences at the School of Life Sciences, University of Dundee.12 He brings extensive industrial experience in computational drug discovery to his role, having previously worked at companies such as Roche, AstraZeneca, Eli Lilly, and Evotec.1

Background and Expertise

Professor Bodkin's academic background includes:

• PhD from the crystallography department at Birkbeck
• Postdoctoral research in the pharmacology department at the University of Cambridge1

His expertise lies in:

• Computational drug discovery
• Integration of software engineering, computational chemistry, bioinformatics, chemical biology, mathematics, and data science
• Enabling AI and systems-driven drug discovery1

Current Role and Research

At the University of Dundee, Professor Bodkin heads up computational drug discovery within the Drug Discovery Unit (DDU).3 His research focuses on:

• Reaction-driven generative design
• Developing optimization and sampling strategies for drug design
• Natural language processing and data integration across the discovery-development continuum
• Knowledge graphs, link prediction, causal reasoning, and systems-driven drug discovery
• Machine learning with synthetic data for drug discovery1

Professor Bodkin's goal is to converge biology, chemistry, and data sciences to expedite the discovery of novel therapeutics using state-of-the-art in silico approaches.1