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The Team
Group Leader
Head of Department of Chemistry
University of Strathclyde
Tell Tuttle’s research is focused on the concept of “reducing molecular search spaces”. The group works closely with experimental colleagues to address practical problems in the areas of molecular structure, molecular recognition, molecular reactivity and molecular properties. The understanding derived from the computational and theoretical methods employed in this research results in the generation of predictive models that are used to design molec- ular-based solutions to arange of prob- lems, from fields as diverse as fundamental chemistry through to drug discovery,and from nanotechnology through to organic elec- tronics.
Group Leader
Reader in Chemistry
University of Strathclyde
David Palmer's research group develop theory, simulation and informatics methods to study complex biochemical systems. Recent projects have included enzyme redesign for uses in food manufacturing (in collaboration with Chr. Hansen A/S) and the development of new methods for computational drug discovery (in collaboration with GSK and AstraZeneca).
David is also Founding Director and Chief Data Scientist of Dxcover, a University spinout company that is developing the world's first cost-effective diagnostic for brain tumours.
Group Leader
Strathclyde Chancellor's Fellow
University of Strathclyde
Tahereh Nematiaram is a theoretician specialising in the development of methods that combine novel physical models with computational screening to identify advanced materials with targeted properties, determine the realistic physical limits to such properties, and drive practical materials (inverse) design strategies. Currently, Tahereh's research is focused on:
Computational discovery and design of functional molecules and materials
Charge transport properties of molecular semiconductors
Optical properties of organic molecules and solids
Crystal structure prediction of rigid conjugated molecules
Dr. James Carter
Postdoc
Palmer lab
Accelerating Drug Discovery using Artificial Intelligence
Dr. Amritpal Singh
Postdoc
Tuttle Lab
Computational Study of Mechanism of Surface Enhanced Raman Spectroscopy (SERS)
Dr Alexander van Teijlingen
Postdoc
Tuttle lab
Reducing peptide self-assembly search space via active machine learning of sample space.
Jonathan Conn
PhD student
Palmer lab
Augmenting Molecular Simulation with Artificial Inelligence
Abdullah Ahmad
PhD student
Palmer lab
Multiscale Models for Molecular Solvation
Hamish Swanson
PhD student
Tuttle lab
Peptoid self-assembly
Hayley Russell
PhD student
Palmer lab
(co-supervised with Dr David Nelson and Dr Marc Reid)
Machine Learning for Directed Screening
Ross Urquhart
PhD Student
Tuttle Lab
Accelerating Catalyst Design Through Machine Learning
Madeleine Taylor
PhD Student
Palmer Lab
Funded by Pfizer
Development of molecular-solvent interaction descriptors to improve accuracy of Quantitative Structure Retention Relationship models
Ivan Yankov
PhD Student
Palmer Lab
(co-supervised with Prof Glenn Burley)
Next-Generation Design of Transcriptional Regulators: Uniting Experimental Analysis with Artificial Intelligence
Loren Christie
PhD Student
Doctorate at Work, Dxcover
Cancer Diagnostics using FTIR and AI
Siobhan Connal
PhD Student
Doctorate at Work, Dxcover
Multicancer early detection using FT IR spectroscopy and machine learning
Ilayda Tolu
PhD student
Palmer Lab
MSCA Doctoral Training Network "MetRaZymes"
"Computational Design of Artificial Metalloenzymes"
Huw Williams
PhD student
Palmer lab
“Artificial Chemical Intelligence in Pharmaceutical Discovery and Development”
Natasha Sanjrani
GSK/Strathclyde PhD student
“Molecular Exploration using Artificial Intelligence”
Want to learn more about our research projects?