Dr David Palmer

Reader

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.

Expertise

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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

Trustee

Recipient

1/1/2016

Chemical Structures Association Trust Grant

Recipient

2/6/2014

Marie Curie Intra-European Fellowship (FP7-PEOPLE-2010-IEF - 272391 - IETSOL)

Recipient

1/2/2012

More prizes and awards

Publications

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Publications

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)

https://doi.org/10.1186/s13046-023-02786-y

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)

https://doi.org/10.1039/D3AN00669G

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)

https://doi.org/10.1039/D2AN02041F

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)

https://doi.org/10.1039/D3CP00199G

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)

https://doi.org/10.1021/acs.jcim.2c01189

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)

https://doi.org/10.1186/s12967-023-03960-8

More publications

Research

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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)