Rate My Professor David Palmer

Professor Palmer's research focuses on developing and applying molecular simulation and molecular informatics methods to tackle industrially relevant challenges at the biochemistry-chemical physics interface. His collaborations include computational drug discovery projects with AstraZeneca, GlaxoSmithKline, and Pfizer, as well as enzyme design for food manufacturing with Chr. Hansen A/S. His expertise encompasses theoretical and computational chemistry, solvation thermodynamics, molecular simulation, cheminformatics, bioinformatics, drug discovery, biochemistry, and machine learning. Notable publications include 'Physics-based solubility prediction for organic molecules' in Chemical Reviews (2025), 'Query matters: how selection strategies influence active learning in drug discovery' in the Journal of Chemical Information and Modeling (2026), and contributions to studies on multi-centre evaluations of liquid biopsies for early detection of brain and colorectal tumors. He has received the Marie Curie Intra-European Fellowship in 2012 and the Chemical Structures Association Trust Grant in 2014.