Professor Claude Chelala

Deputy Centre Lead: Cancer Biomarkers & Biotherapeutics

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Overview

I lead an interdisciplinary research group with complementary expertise in translational bioinformatics, health data science, and software engineering, enabling us to effectively leverage data-driven approaches for precision medicine. Our research projects are specifically concentrated on integrative analytics, biomarker discovery, and the design of sophisticated informatics systems capable of translating longitudinal clinical data and molecular findings into personalised strategies for patient care.

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Team

Dr Jobie Budd

Dr Jobie Budd

Data Science Lead

Dr Desmond Choy

Dr Desmond Choy

Bioinformatician

Dr Emanuela Gadaleta

Dr Emanuela Gadaleta

Bioinformatician

Sameena Iqbal

Sameena Iqbal

QA Manager (PharosAI)

Dr Lewis James

Dr Lewis James

Junior Bioinformatician

Ashitha Joby profile picture

Ashitha Joby

PhD Student

Dr Trupti Kolvekar

Dr Trupti Kolvekar

Tissue Bank Data Scientist / Manager

Cecilia Morel profile picture

Cecilia Morel

PhD Student

Dr Jorge Oscanoa

Dr Jorge Oscanoa

Postdoctoral Researcher

Dr Keiran Palmer

Dr Keiran Palmer

Clinical Research Fellow

Dr Helen Ross-Adams

Dr Helen Ross-Adams

Postdoctoral Researcher

Dr Graeme Thorn

Dr Graeme Thorn

Postdoctoral Researcher

Close-up portrait of a man with short black hair and a blue shirt, neutral expression against a plain light background

Dr Abu Dayem Ullah

Senior Health Data Science Specialist

Sonal Varsani

Sonal Varsani

Quality Assurance Manager

Qianqian Zhu profile picture

Dr Qianqian Zhu

Postdoctoral Researcher

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Research

Early work on functional genomics and genetics: I made significant contributions to the field of statistical genetics by identifying and functionally characterising genetic variants associated with both rare and common diseases. My work helped demonstrate that mutations in GLIS3 cause a rare syndrome characterised by neonatal diabetes and congenital hypothyroidism. I also contributed to studies on Type 1 diabetes and the role of the PTPN22 gene in diverse population

Transition to translational bioinformatics and cancer research: After moving to the Barts Cancer Institute, I established my own research group and the BCI core bioinformatics service providing bioinformatics expertise in analysing the transcriptional and mutational landscapes of various cancers.

Clinical utility of field cancerisation and breast cancer risk in diverse populations:  My later work has focused on elucidating the clinical and prognostic potential of morphologically normal breast tissue, a phenomenon known as field cancerisation. I led the most extensive characterisation of these tissues, identifying distinct molecular subtypes with clinical promise, particularly for young breast cancer patients. My research dissected the molecular effects of genetic ancestry in women of African and South Asian descent with breast cancer highlighting critical disparities. Further work is revealing distinct genetic architectures underlying cancer risk in South Asian populations in the UK, emphasising the critical need for tailored risk models and screening strategies.

Biobanking and Precision Medicine: Working with clinical colleagues, I established and lead national biobanking health informatics infrastructures for breast (Breast Cancer Now Biobank) and pancreatic cancer (Pancreatic Cancer Research Fund Tissue bank). These biobanks, which have collected over 190,000 specimens from more than 15,000 patients across the UK, serve as a foundational ecosystem for linking clinical data with molecular findings to advance personalised medicine. The Pancreatic Cancer Research Fund Tissue bank has recently become the first in England to receive ISO 20387:2018 accreditation, an international standard that recognises excellence in biobanking. My team has used these resources to conduct large-scale population studies using linked electronic health records and/or molecular data.

Innovative translational bioinformatics for precision medicine: I am the creator and lead of SNPnexus (www.snp-nexus.org), a widely used bioinformatics web server for the functional annotation of human genetic variation. This powerful platform addresses the challenge of data analysis in genomics and has a constantly growing, international user community. Its ongoing development and clinical deployment are key to facilitating the promise of precision medicine, as demonstrated by our collaborative projects with institutions and industry partners.

Tracking clonal evolution in pancreatic cancer using sequential non invasive liquid biopsies. We use next-generation sequencing of matched germline, tumour and serial circulating tumour DNA (ctDNA) samples to explore the clonal evolution of pancreatic cancer, and isolate markers of disease progression, treatment response and acquired resistance.

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Key Publications

The clinical and molecular landscape of breast cancer in women of African and South Asian ancestry, Nat Commun(2025), 16: 4237. PMID: 40394000

Longitudinal profiling of circulating tumour DNA for tracking tumour dynamics in pancreatic cancer. BMC Cancer (2022) 22(1):369. PMID: 35392854

COVID-19 in patients with hepatobiliary and pancreatic diseases: a single-centre cross-sectional study in East London. BMJ Open (2021) 11(4):e045077. PMID: 33875444

Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer. NPJ Breast Cancer (2020). 6:38. PMID: 32885042

SNPnexus: a web server for functional annotation of human genome sequence variation (2020 update). Nucleic Acids Res (2020) 48(W1):W185-W192. PMID: 32496546

See recent publications

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Major Funding

  • 2021-26 – EU Integrative Medicine Initiative: Optimal treatment for patients with solid tumours in Europe through Artificial intelligence, Co-I (PI for QMUL), £21M £400K/QMUL
  • 2021-29 – Barts Charity: Precision Medicine – Unlocking the longitudinal Electronic Health Record phenotype from multi-dimensional data, Co-PI, £5.7M
  • 2015-27 – Pancreatic Cancer Research Fund: Pancreatic Cancer Research Fund Tissue bank, Co-PI, £2.4M
  • 2024-29 – Breast Cancer Now: Breast Cancer Now Tissue bank, Co-PI , £4.5M
  • 2018-27 – Chanel Parfums Beauté:  Skin aging Platform, PI, £1.2M

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Other Activities

  • Co-Lead, Barts Life Sciences Precision Medicine Programme (QMUL)
  • Chair, FMD Data Strategy and Capability Committee (DSCC) (QMUL)
  • Barts Life Sciences (Barts Health NHS Trust, QMUL) Precision Medicine Programme Board
  • AIRC Foundation for Cancer Research International Scientific Committee
  • Cancer Research UK Early Detection and Diagnosis Committee

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Biography

In 2002, I was awarded a PhD in Computational Biology/Radiation Biology from Paris-Sud University/Curie Institute and a degree in Structural Bioinformatics from Paris Descartes University. My first post-doctoral experience at the National Centre for Scientific Research (CNRS) involved the development of novel tools to gather information for automated analysis of genome maps and distribution study of the disease-related genes.

In 2004, I joined the Pasteur Institute in Paris to work on large-scale analysis of genetic variation, integration with clinical data and the association with type 1 diabetes. I worked on developing tools to transfer, integrate and analyse the genetic, genomic and proteomic data. My later studies have centred on cancer research.

In 2006, I joined Barts Cancer Institute (BCI) driven by a high motivation to translate my work from a substantial basic/computational research platform into a translational/patient setting. I currently co-lead the Barts Life Sciences Precision Medicine programme, aiming to link the longitudinal Electronic Health Record phenotype to multi-modal data. I lead the Health Informatics and Bioinformatics for two national biobanks, harnessing longitudinal clinical, molecular and imaging data. Our SNPnexus software project aims to improve our understanding of the functional role of sequence variations to prioritise clinically relevant ones. My research in breast cancer aims to improve our understanding of ancestry-associated differences and the prognostic utility of field cancerisation. My work on pancreatic cancer tracks tumour dynamics using liquid biopsy in unresectable patients to inform care.

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Related News

Artwork by Niten Patel Design. Illustration shows a woman and man against a background combining elements of the UK, Bangladesh and Pakistan flags, with a DNA helix between them.

Study reveals gaps in cancer risk assessment and genetic tools for British Bangladeshi and Pakistani communities

Scientists have carried out one of the largest and most comprehensive studies to date of the genetic and clinical factors associated with cancer in British Bangladeshi and Pakistani people. The findings could help inform future efforts to make cancer screening and risk assessment more equitable.

Publications   7 August 2026

Driving Discoveries for Tomorrow’s Cancer Care

Today, on World Cancer Day, we’re sharing a new film. Join us as we go behind the scenes at Barts Cancer Institute (BCI), Queen Mary University of London and meet the people who are making progress possible.

Video   4 February 2026

Pancreatic Cancer Research Fund Tissue Bank achieves landmark international accreditation

The Pancreatic Cancer Research Fund Tissue Bank (PCRFTB) has become the first in England to receive ISO 20387:2018 accreditation, an international standard that recognises excellence in biobanking.

General News   19 August 2025

Beyond ‘one size fits all’: Study reveals ethnic differences in breast cancer development and outcomes, demanding tailored care approaches

Women of African or South Asian genetic ancestry tend to develop breast cancer and die at a younger age than women of European ancestry, according to new research by Barts Cancer Institute, Queen Mary University of London. The study, which looked at clinical and genetic data from over 7,000 women with breast cancer, also found important genetic differences in these women’s cancers that could impact their diagnosis and treatment.

General News   20 May 2025

Queen Mary’s Barts Cancer Institute co-leads £43.6m initiative to accelerate AI-powered cancer breakthroughs

Barts Cancer Institute, Queen Mary University of London will co-lead a ground-breaking collaboration, PharosAI, that aims to harness cutting-edge artificial intelligence (AI) and unlock decades of NHS cancer data. The UK government is committing £18.9 million to the project.

General News   11 February 2025

Shining a Spotlight on AI Research at the Barts Cancer Institute

We explore Nobel-Prize-winning research and the theory behind AI, and speak with Dr Vivek Singh, Dr Oscar Maiques and Professor Claude Chelala, three researchers using cutting-edge AI in their work at the BCI.

General News   16 December 2024

Coming together to tackle pancreatic cancer – The London Pancreas Workshop

Experts in the field converged to discuss the latest advances in pancreatic cancer

Conferences   29 June 2023

PCRF’s national pancreas tissue bank extends access to precious pancreas samples

The world’s first national pancreas tissue bank has recently opened its stores to UK-based researchers to access high-quality pancreas samples that will facilitate vital research into improving the diagnosis and treatment of pancreatic cancer.

General News   26 August 2022

OPTIMA: Improving treatment for cancer patients through artificial intelligence

Professors Claude Chelala and Louise Jones from Barts Cancer Institute, Queen Mary University of London, are part of a €21.3 million public-private research programme that will seek to use artificial intelligence to improve care for patients with prostate, breast and lung cancer.

General News   12 October 2021

Impact of COVID-19 in patients with HBP conditions in East London

Researchers from Barts Cancer Institute at Queen Mary University of London have conducted a population-based study to explore the risk factors associated with COVID-19 susceptibility and survival in patients with a history of diseases of the liver, pancreas or biliary system - also known as hepato-pancreato-biliary (HPB) diseases - in East London.

General News   12 May 2021

SNPnexus in the fight against COVID-19

Researchers from Barts Cancer Institute, Queen Mary University of London, have released a web-based tool called SNPnexus COVID to streamline the analysis of host genetic sequencing data and allow for the identification and prioritisation of genetic variants that may impact an individual’s susceptibility to and the severity of COVID-19 infection.

General News   8 February 2021

Biological clues in tissues surrounding breast tumours

A new study has identified molecular characteristics in ‘normal-looking’ tissues surrounding breast tumours that may indicate whether breast cancer is likely to return following surgical removal of the tumour.

General News   9 September 2020

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