Shan Raza is Assistant Professor in Computer Science and is associated with the Applied Computing division and the Tissue Image Analytics (TIA) lab. Before joining Warwick, Shan held a postdoctoral position for two years at the Institute of Cancer Research, UK working on the lung TRACERx project funded by Cancer Research UK (CRUK). Prior to that, he worked for three years as research fellow at Warwick computer science department on a BBSRC funded project exploring the origin of new beta cells during pregnancy. Shan obtained BSc degree in electrical engineering from University of Engineering and Technology (UET), Taxila in 2008 and MS in systems engineering from Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad in 2010. He obtained PhD in Computer Science from Warwick in 2014. During his PhD and postdoc roles, he also gained hands on experience setting up experiments for the acquisition of images in wet biology labs and glass houses.
Shan's research is primarily in the areas of image analysis and applied machine learning. Specifically, he is interested in developing deep learning models for the analysis of microscopy images, integration of imaging and genomics data and studying tumour microenvironment in the context of cancer evolution.
Computational Pathology, Multi-Channel and Multi-Model Image Analysis, Deep Learning and Pattern Recognition, Integration of Histology with Genomics
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