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The Team

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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.

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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.

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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 

Jonathan Conn

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PhD student

Palmer Lab

Augmenting Molecular Simulation with Artificial Inelligence

Dr. Amritpal Singh

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Postdoc

Tuttle Lab

Computational Study of Mechanism of Surface Enhanced Raman Spectroscopy (SERS)

Dr Alexander van Teijlingen

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Postdoc

Tuttle Lab

Reducing peptide self-assembly search space via active machine learning of sample space.

Hayley Russell

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PhD student

Palmer Lab

(co-supervised with Dr David Nelson and Dr Marc Reid)

Machine Learning for Directed Screening

Abdullah Ahmad

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PhD student

Palmer Lab

Multiscale Models for Molecular Solvation

Madeleine Taylor

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PhD Student

Palmer Lab

Funded by Pfizer

Development of molecular-solvent interaction descriptors to improve accuracy of Quantitative Structure Retention Relationship models

Ivan Yankov

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PhD Student

Palmer Lab

(co-supervised with Prof Glenn Burley)

Next-Generation Design of Transcriptional Regulators: Uniting Experimental Analysis with Artificial Intelligence

Ross Urquhart

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PhD Student

Tuttle Lab

Accelerating Catalyst Design Through Machine Learning

Siobhan Connal

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PhD Student

Doctorate at Work, Dxcover

Multicancer early detection using FT IR spectroscopy and machine learning

Ilayda Tolu

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PhD student 

Palmer Lab

MSCA Doctoral Training Network "MetRaZymes"

Computational Design of Artificial Metalloenzymes

Loren Christie

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PhD Student

Doctorate at Work, Dxcover

Cancer Diagnostics using FTIR and AI

Natasha Sanjrani

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GSK/Strathclyde PhD student

Palmer Lab

Molecular Exploration using Artificial Intelligence

Raj Kumar Rajaram Baskaran

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PhD student 

Tuttle Lab

AI algorithms to design and optimize Multi-Component Soft Materials

Huw Williams

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PhD student

Palmer Lab

Artificial Chemical Intelligence in Pharmaceutical Discovery and Development

Callum Hamilton

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PhD student

Palmer Lab

Computational Design of Small Molecules to Prevent the Early Formation of Multispecies Biofilms

Nikita Myasnikov

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PhD student 

Tuttle Lab

AI-driven algorithms to predict aggregation and gel phenomena during peptide synthesis and isolation processes

Ryan Fraser

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PhD student

Tuttle Lab

Machine learning-driven elucidation of peptoid nanostructures for nature-inspired acoustics and antimicrobial/anticancer pore-forming peptoids

Malin Zollner

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PhD student

Nematiaram Lab

Machine Learning-Assisted High-Throughput Screening for Organic Semiconductors

Jack Rodden

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PhD student

Palmer Lab

Artificial Intelligence for Early Detection of Cancers from Spectroscopic Liquid Biopsies

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