Yinyin Yuan

Team leader

Yinyin brings 10 years of experience in digital pathology and 15 years in machine learning to cancer research.

Priya L. Narayanan

Postdoc

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

Khalid AbdulJabbar

Postdoc

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

PhD student

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

Sathya Muralidha

Postdoc

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

Faranak Sobhani

Postdoc

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

Azam Hamidinekoo

Postdoc

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

Hanyun Zhang

PhD student

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

Xiaoxi Pan

Postdoc

Xiaoxi brings experience from computer vision and medical image analysis to lung cancer evolution study with digital pathology.

Anca Grapa

Postdoc

Anca applies signal/image processing and machine learning to the study of lung cancer evolution, in a digital pathology framework.

Simon Castillo

Postdoc

Hailing from Chile and trained in Ecology, Simon seeks to understand brain tumour ecosystems while diving into de ocean of deep learning.