We drive machine learning and pathology innovations for more accurate prediction of cancer survival and treatment response.
Our scientific focus is on understanding tumours as complex, evolving ecosystems that may govern the evolutionary trajectory of cancer.
Innovative integration of pathological images with next-generation sequencing offers new insights into why some cancers are so difficult to treat.
Yinyin brings 10 years of experience in digital pathology and 15 years in machine learning to cancer research.
Trained in digital pathology, MRI Image analytics and machine learning, Priya brings experiences from industry to study breast cancers as complex ecological systems.
Trained as an R&D engineer, computer vision and machine learning, Khalid studies the evolution of lung cancers by integrating omics data with digital pathology.
Trained in medical image analysis and machine learning, Yeman develops histology and omics integrative computational methods to understand pre-cancer evolution.
Sathya applies her expertise in bioinformatics to integrate image-omics to decipher tumour heterogeneity
Faranak uses deep learning to predict which breast cancer progresses from precursor lesion to invasive stage for improved cancer management.
Azam employs deep learning and image processing to study childhood rhabdomyosarcoma tumour microenvironment.
Hanyun applies ecological concepts in a pan-cancer analysis of immune cell heterogeneity.
Xiaoxi brings experience from computer vision and medical image analysis to lung cancer evolution study with digital pathology.
Anca applies signal/image processing and machine learning to the study of lung cancer evolution, in a digital pathology framework.
Hailing from Chile and trained in Ecology, Simon seeks to understand brain tumour ecosystems while diving into de ocean of deep learning.
Now at Kheiron Medical
Now faculty at Warwick University
Now at Roche
Now postdoc at ICR
Centre for Evolution and Cancer,
& Division for Molecular Pathology,
The Institute of Cancer Research, London
Brookes Lawley Building,
The Institute of Cancer Research, London, 15 Cotswold Road, Sutton, Surrey, UK, SM2 5NG