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Centres and groups

The Faculty’s major Research Centres are:

Net Zero Centre

Net Zero Centre

Find out more about the Faculty of Natural, Mathematical & Engineering Sciences' Net Zero Centre.

CUSP

CUSP

CUSP applies data science and visual analytics to challenges in and for London

Research groups, units and centres are led by academics seeking solutions to society and industry's most demanding challenges. Whether responding to local or regional environmental problems, maintaining clean water supplies, or producing novel materials for the industries of the future, they are asking big questions with global implications.

 

NMES Graduate School

Find out more about our postgraduate research opportunities.

FEATURE Engineering

Analysis

The Analysis Group's research interests focus mainly on PDEs, operator theory and spectral theory.

Barry Group

Our research focuses on understanding and exploiting the natural product biosynthesis, from the conditions under which biosynthetic pathways are expressed to elucidating the mechanisms of the enzymes involved, in pursuit of novel compounds and biocatalysts.

Biological Physics & Soft Matter

The Biological Physics and Soft Matter group aims to use bespoke technology and analytical methods borrowed from the Physical Sciences to address important fundamental questions in Biology.

Booth Group

The Booth group works at the interface of Chemistry and Biology to elucidate the mechanisms by which proteins fold, assemble and communicate within biological membranes.

Borysik Group

The Borysik group use native mass spectrometry (MS) ion mobility MS and hydrogen-deuterium exchange MS to study the conformations and dynamics of important biomolecules in order to understand their function.

Brogan Group

Research in the Brogan Group aims to develop new enzyme-based biotechnologies to help us move to a more sustainable, renewable, economy.

Cross-Disciplinary Approaches to Non-Equilibrium Systems (CANES)

The mission of CANES is to train future research leaders in the understanding, control and design of systems far from equilibrium, based on rigorous training in theoretical modelling, simulation and data-driven analysis, and a breadth of awareness of common themes across disciplines.