Dr David Palmer


Pure and Applied Chemistry


Personal statement

I am a Reader in Chemistry at the University of Stratchlyde.  I was born in London, but grew up in Cumbria in north west England.  After obtaining a Masters degree in Chemistry from the University of Sheffield, I worked as a synthesis chemist for Norbrook Laboratories before reading my PhD in Chemistry at the University of Cambridge.  Between 2008 and 2011, I was a postdoctoral researcher at Aarhus University in Denmark and then at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany.   In 2012 I was awarded a Marie Curie Research Fellowship and returned to the UK to join the Department of Physics at the University of Strathclyde.  I started as a Lecturer in the Department of Pure and Applied Chemistry in 2014.   I was promoted to Senior Lecturer in 2019, and to Reader in 2022.

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Area of Expertise

  • Theoretical and computational chemistry
  • Solvation Thermodynamics
  • Molecular Simulation
  • Cheminformatics/Bioinformatics
  • Drug Discovery
  • Biochemistry
  • Machine Learning

Prize And Awards

Chemical Structures Association Trust Grant
Marie Curie Intra-European Fellowship (FP7-PEOPLE-2010-IEF - 272391 - IETSOL)

More prizes and awards

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Global serum profiling an opportunity for earlier cancer detection
Sala Alexandra, Cameron James M, Brennan Paul M, Crosbie Emma J, Curran Tom, Gray Ewan, Martin-Hirsch Pierre, Palmer David S, Rehman Ihtesham U, Rattray Nicholas J W, Baker Matthew J
Journal of Experimental & Clinical Cancer Research Vol 42 (2023)
Augmentation of FTIR spectral datasets using Wasserstein generative adversarial networks for cancer liquid biopsies
McHardy Rose G, Antoniou Georgios, Conn Justin J A, Baker Matthew J, Palmer David S
Analyst Vol 148, pp. 3860-3869 (2023)
Recurrent neural networks for time domain modelling of FTIR spectra : application to brain tumour detection
Antoniou Georgios, Conn Justin J A, Smith Benjamin R, Brennan Paul M, Baker Matthew J, Palmer David S
Analyst Vol 148, pp. 1770-1776 (2023)
Solvation entropy, enthalpy and free energy prediction using a multi-task deep learning functional in 1D-RISM
Fowles Daniel J, Palmer David S
Physical Chemistry Chemical Physics Vol 25, pp. 6944-6954 (2023)
Blinded predictions and post-hoc analysis of the second solubility challenge data : exploring training data and feature set selection for machine and deep learning models
Conn Jonathan G M, Carter James W, Conn Justin J A, Subramanian Vigneshwari, Baxter Andrew, Engkvist Ola, Llinas Antonio, Ratkova Ekaterina L, Pickett Stephen D, McDonagh James L, Palmer David S
Journal of Chemical Information and Modeling Vol 63, pp. 1099-1113 (2023)
Liquid biopsies : the future of cancer early detection
Connal Siobhan, Cameron James M, Sala Alexandra, Brennan Paul M, Palmer David S, Palmer Joshua D, Perlow Haley, Baker Matthew J
Journal of Translational Medicine Vol 21 (2023)

More publications

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Research Interests

The main focus of my research is the development and application of molecular simulation and molecular informatics methods to solve industrially relevant problems at the interface between biochemistry and chemical physics.  Recent examples have included the development of new methods for computational drug discovery (in collaboration with AstraZeneca, GSK, and Pfizer) and the design of an enzyme for use in food manufacturing (in collaboration with Chr. Hansen A/S).   I am Founding Director of the cancer diagnostics company, Dxcover (formerly ClinSpec Diagnostics Ltd)

Professional Activities

AI for drug discovery
Simultaneous Entropy, Enthalpy and Free Energy Prediction using a Physics-Informed Neural Network and Multi-task Learning
Cancer Detection using an AI-Enabled Spectroscopic Liquid Biopsy
Simultaneous Entropy, Enthalpy and Free Energy Prediction using a Physics-Informed Neural Network and Multi-task Learning
Spectral Analysis of Liquid Biopsies
Spectral Analysis of Liquid Biopsies

More professional activities


Afon Technology. Short Project
Palmer, David (Principal Investigator)
01-Jan-2023 - 31-Jan-2023
DTP 2224 University of Strathclyde | Fyfe, Calum
Reid, Marc (Principal Investigator) Palmer, David (Co-investigator) Fyfe, Calum (Research Co-investigator)
01-Jan-2022 - 01-Jan-2026
Development of molecular-solvent interaction descriptors to improve accuracy of Quantitative Structure Retention Relationship model
Palmer, David (Principal Investigator)
01-Jan-2021 - 31-Jan-2025
Doctoral Training Partnership 2020-2021 University of Strathclyde | Taylor, Madeleine
Palmer, David (Principal Investigator) Reid, Marc (Co-investigator) Taylor, Madeleine (Research Co-investigator)
01-Jan-2021 - 01-Jan-2025
Solvation thermodynamics of non-aqueous solvent in the 3D Reference Interaction Site Model (3D-RISM).
Palmer, David (Principal Investigator)
256000 CPU hours awarded on Cirrus (EPSRC Tier-2 National HPC Facility at University of Edinburgh)
27-Jan-2021 - 27-Jan-2022
Understanding the Reliability and Transferability of Machine Learning | Russell, Hayley
Nelson, David (Principal Investigator) Palmer, David (Co-investigator) Russell, Hayley (Research Co-investigator)
01-Jan-2021 - 01-Jan-2025

More projects

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Dr David Palmer
Pure and Applied Chemistry

Email: david.palmer@strath.ac.uk
Tel: 548 4178