Muhammad Shaban

Head of Frontier AI Models

• Driving Strategic Adoption of Frontier AI Models to Advance Oncology R&D.

Machine Learning Scientist

• Worked on self-supervised representation learning from multiplex spatial proteomics images.

Postdoctoral Research Fellow

• Worked on multiplex image analysis projects, including cell phenotyping, and protein marker imputation and digital biomarker identification for classical Hodgkin lymphoma progression.
• Worked on multimodal deep learning for fusing medical images and genomics for understanding cancer metastases and cancers of unknown primary.
• Collaborated with labmates on different projects, including context-aware cancer prognosis using graph convolutional networks.

Research Assistant

• Participated in the CAMELYON16 consortium that demonstrated the first breakthrough using deep learning for computational pathology in lymph node metastasis classification, published in JAMA.
• Developed computer vision approaches for person pose detection via deep learning, published in Information Fusion.

Preprints

1. A Foundation Model for Spatial Proteomics. M Shaban, ... F Mahmood. arXiv preprint arXiv:2506.03373, 2025.

Journals

1. A multimodal whole-slide foundation model for pathology. Tong Ding, Sophia J. Wagner, Andrew H. Song, ... Muhammad Shaban, ... Faisal Mahmood. Nature Medicine, 2025.

2. MAPS: Pathologist-level cell type annotation from tissue images through machine learning. M Shaban, ... F Mahmood. Nature Communications, 2024.

3. Towards a general-purpose foundation model for computational pathology. Richard J. Chen, Tong Ding, Ming Y. Lu, ... Muhammad Shaban, ... Faisal Mahmood. Nature Medicine, 2024.

4. Demographic bias in misdiagnosis by computational pathology models. Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, ... Muhammad Shaban, ... Faisal Mahmood. Nature Medicine, 2024.

5. Pan-cancer integrative histology-genomic analysis via multimodal deep learning. Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, ... Muhammad Shaban, ... Faisal Mahmood. Cancer Cell, 2022.

6. Artificial intelligence for multimodal data integration in oncology. Jana Lipkova, Richard J. Chen, Bowen Chen, ... Muhammad Shaban, ... Faisal Mahmood. Cancer Cell, 2022.

7. A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. M Shaban, ... NM Rajpoot. The Journal of Pathology, 2021.

8. Context-aware convolutional neural network for grading of colorectal cancer histology images. M Shaban, ... NM Rajpoot. IEEE Transactions on Medical Imaging (TMI), 2020.

9. A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma. M Shaban, ... NM Rajpoot. Scientific Reports, 2019.

10. An information fusion framework for person localization via body pose in spectator crowds. M Shaban, ... NM Rajpoot. Information Fusion, 2019.

11. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, ... Muhammad Shaban, ... Rui Venâncio. JAMA, 2017.

Note: Check the Google Scholar profile for an updated and complete list of publications.

University of Warwick, Coventry, UK

• Proposed novel method for context-aware deep learning to leverage domain specific information in gigapixel histopathology slides for colorectal cancer grading.
• Developed two automated and objective methods for the quantification of histopathologic biomarkers in tumor microenvironment for better patient prognosis.
• Led teams of four or more researchers, including pathologists, in three different projects and successfully concluded those projects with journal publications.
• Actively participated in computational pathology challenges and presented work at several medical conferences.
• Published more than 15 publications in a span of four years.
• Worked under the supervision of Prof. Nasir Rajpoot in the Tissue Image Analytics (TIA) Center.

Lahore University of Management Sciences, Lahore, PK