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Computational Pathology and Integrative Genomics Team

Dr Yinyin Yuan’s Team works to reconstruct two-dimensional or three-dimensional tumour models from images of tumour sections.

Team leader

Dr Yinyin Yuan

Dr Yinyin Yuan

Yinyin joined the ICR in 2012 as the leader of the Computational Pathology and Integrative Genomics team. Her team uses techniques from a broad range of scientific fields to formulate unique approaches for linking genetic mutations, pathological observations and patient treatment to improve cancer research.

ORCID 0000-0002-8556-4707

Team members

Dr Khalid AbdulJabbar
Dr Khalid AbdulJabbar
Postdoctoral Fellow

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.

 Yeman Brhane Hagos
Yeman Brhane Hagos
PhD Student

Trained in medical image analysis and machine learning, Yeman develops histology and omics integrative computational methods to understand pre-cancer evolution.

Dr Azam Hamidinekoo
Dr Azam Hamidinekoo
Postdoctoral Fellow

Azam employs deep learning and image processing to study childhood rhabdomyosarcoma tumour microenvironment.

Dr Sathya Muralidhar
Dr Sathya Muralidhar
Postdoctoral Fellow

Sathya applies her expertise in bioinformatics to integrate image-omics to decipher tumour heterogeneity.

Dr Priya L. Narayanan
Dr Priya L. Narayanan
Postdoctoral Fellow

Trained in digital pathology, MRI Image analytics and machine learning, Priya brings experiences from industry to study breast cancers as complex ecological systems.

Dr Faranak Sobhani
Dr Faranak Sobhani
Postdoctoral Fellow

Faranak uses deep learning to predict which breast cancer progresses from precursor lesion to invasive stage for improved cancer management.

 Hanyun Zhang
Hanyun Zhang
PhD Student

Hanyun applies ecological concepts in a pan-cancer analysis of immune cell heterogeneity.

 Konstantinos Zormpas-Petridis
Konstantinos Zormpas-Petridis
PhD student

Konstantinos combines MRI and digital pathology to study childhood neuroblastoma.