
Biography
Matthew is a BBSRC iCASE PhD student where together with BenevolentAI, Matthew is developing machine learning (ML) and systems biology approaches to investigate the role of the microbiome during the ageing process.
By harnessing the power of ML, these approaches will be used to identify prognostic indicators from metagenomics and metatranscriptomics data. Combining ML-based features with host-microbiome interactions and systems biology, we aim to improve our understanding of how the microbiota contributes to our health.
Matthew started his research at the Earlham Institute during the second year of undergraduate studies where he was introduced to systems biology. As an intern within the Korcsmáros Group, he developed an algorithm to identify and contextualise autophagy-related proteins within a molecular interaction network.
This experience led to his final year research project, in which he created an integrated network-medicine and ML pipeline to identify prognosis indicators in ulcerative colitis. These short-term projects gave him the motivation and passion to further explore the capabilities of ML within life sciences.
Related reading.

On the origin of errors: the causes and consequences of mistakes during DNA replication

Why is genome annotation important?

Why cloud computing is important for data-driven bioscience research

How bioinformatics can crack the complex case of protist biodiversity

The dramatic effects genomics will have on our future world

The inextricable link between climate change and biodiversity.

Hidden Biodiversity: How genomics can save nature’s secrets before they’re lost forever

Can we reach net zero & climate resilience? Here are 6 ways Earlham scientists are getting us there

Not all looks rosy for the pink pigeon

Coronavirus jams communication signals to immune cells in the gut

Precision medicine tool finds hidden genetic connections that could personalise IBD treatment

Deciphering gut microbiome ‘chatter’ to combat IBD

New legislation granted to progress plant gene editing in UK

'Molecular Facebook’ signals researchers to right path for understanding cell function in disease

UK project underpins global effort to map genomes of all life on earth
