Shan Raza is an Associate Professor in Computer Science at the University of Warwick with a decade of experience translating microscopy and pathology challenges into deployable AI solutions. His work spans brightfield and multiplexed image analysis, co-leading major UK/EU initiatives like PathLAKE and BigPicture to digitise pathology labs and develop clinical-grade algorithms for tumour microenvironment studies. He developed TIAToolbox for end-to-end deployment of computational pathology algorithms, leads the NGFF interoperability workstream, and collaborates closely with MONAI developers, reflecting a strong focus on practical, standards-driven tooling. Trained as an electrical and systems engineer and holding a PhD from Warwick, he uniquely combines wet-lab hands-on experience preparing tissue for multiplexed imaging with applied machine learning expertise.
10 years of coding experience
4 years of employment as a software developer
B.Sc., Electrical Engineering, B.Sc., Electrical Engineering at University of Engineering and Technology, Taxila
PhD, Computer Science, PhD, Computer Science at University of Warwick
MS, Systems Engineering, MS, Systems Engineering at Pakistan Institute of Engineering and Applied Sciences, Islamabad
Contributions:3 reviews, 20 PRs, 9 pushes in 2 years 7 months
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