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Staff · Researchers

The research staff

Twelve centres are staffed by computational scientists, bioinformaticians, clinical researchers and doctoral students working across the fifteen themes.

image — research team, 4:3

Research profiles by centre

Each centre profile sets out its methods, data inputs, outputs, funding route and dependencies.

Coming soonCentre 01

Digital Twins & Predictive Oncology

Computational replicas of a tumour that forecast behaviour and likely response before decisions are taken in clinic.

Centre profile →
Coming soonCentre 02

Single-Cell Multi-Omics & Systems Biology

Studying cancer one cell at a time — the heterogeneity that explains why treatments fail.

Centre profile →
Coming soonCentre 03

Digital Pathology & Spatial AI

Deep learning on digitised pathology and spatial molecular data, to detect, grade and predict molecular features.

Centre profile →
Coming soonCentre 04

Computational Immunology & Precision Immunotherapy

Modelling immune repertoires and immune-related markers to predict who benefits from immunotherapy.

Centre profile →
Coming soonCentre 05

Generative AI & Computational Drug Discovery

Designing and prioritising candidate molecules in silico, compressing the early discovery cycle.

Centre profile →
NowCentre 06

Oncological Databases, Knowledge Graphs & HPC

The structured oncology databases, knowledge graphs and compute every other centre depends on.

Centre profile →
NowCentre 07

Liquid Biopsy & Translational Clinical Genomics

Circulating tumour DNA and serial monitoring — what blood can tell us that a biopsy often cannot.

Centre profile →
Coming soonCentre 08

Computational Radiomics & Medical Physics

Quantitative features from CT, MRI and PET, linked to molecular and clinical outcomes.

Centre profile →
Coming soonCentre 09

Structural Oncology & Molecular Biophysics

Structural modelling and simulation of cancer-related proteins — why a given mutation matters.

Centre profile →
Coming soonCentre 10

Computational Epigenomics & Chromatin Biology

Methylation, chromatin accessibility and genome architecture — the strongest route to solving cancer of unknown primary.

Centre profile →
Coming soonCentre 11

In-Silico Clinical Trials & Real-World Evidence

In-silico trial methods and evidence from Indian practice, as a governed consumer of the data platform.

Centre profile →
Coming soonCentre 12

Population Genomics & Cancer Epidemiology

Indian cancer genomics is under-represented in global datasets. This centre addresses that directly.

Centre profile →

Named researchers, their centres and publication lists will be published as appointments are confirmed.