Fayyaz Minhas
| Hello, and Welcome to my research and teaching profile! I am an associate professor of Intelligent Systems in Biology and Medicine in the Department of Computer Science at the University of Warwick. I am also affiliated with:
Previous Affiliations: |
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| The (PRISM) LabLink opens in a new window that I lead is dedicated to advancing biomedical science through the development of machine learning, artificial intelligence, and data-driven analytic methods. Guided by our vision of "Algorithms Behind the Cure", our mission is to transform diverse biomedical data ranging from genomic and molecular profiles to histopathological imaging datasets into clinical, pharmacological, and biological insights that accelerate translational research and improve patient outcomes. Email Contact: If you are prospective PhD, Masters or undergraduate student interested in working with me, please click here for detailsLink opens in a new window. |
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Highlights:
- Interview with Pathology News on our recent Nature Biomedical Engineering paper on Confounding Factors and Biases in Histopathology AI Models
- My interview on promises and limitations of AI in biomedicine with Analytics India Magazine on the back of our nature biomedical engineering paper on confounding factors and biases in computational pathology models.
- Introduction to TIALink opens in a new window
- Invited Talk on "Information Fusion for Pathobiological Understanding Applications, Lessons, Challenges, Trends and Outlook" at Deep Learning-based Information Fusion and Its Applications (DIFA) workshop, The 36th British Machine Vision Conference, Nov 27, 2025, Sheffield, UK. Link opens in a new window
- Talk at the Beatson International Cancer Conference (BICC) 2025, Wednesday, 28th May at 10:00-10:30, Glasgow on "Uncovering hidden statistical and spatial structures in predictive modelling of cancer data"
- My talk for European Congress for Pathology (ECP) Sep 8 2024: Casualties of Causality Biases and confounders in computational pathology deep learning modelsLink opens in a new window
- My lectures at International Workshop on Recent Advances in AI titled Deep Learning: From philosophy to AGI and applications in biomedicineLink opens in a new window
- My Talks at the CLIRPath-AI and the International Society for Clinical Spectroscopy (CLIRSPEC) Summer SchoolLink opens in a new window 2024
- My talk on "FERRIQ: AI-Driven mapping of disease trajectories" in the 2023 Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting
- Expanded version of my talk on "Causality and Domain Generalization" in the 2023 Domain Generalization Workshop
- Wanna learn data mining and machine learning? Here's my video lecture series and notesLink opens in a new window
- My Talks at the CLIRPath-AI and the International Society for Clinical Spectroscopy (CLIRSPEC) Summer SchoolLink opens in a new window 2022
- Video of our paper on "Do Tissue Source Sites leave identifiable Signatures in Whole Slide Images beyond staining?Link opens in a new window"
- Video of my talk on "How AI is transforming computational pathology" at North West Seminar Series of Mathematical Biology and Data Science Monday, 24th October 2022
- "TIA, PathLAKE en daarbuiten" (TIA, PathLAKE and Beyond) by Fayyaz Minhas, Seminar Digitale Pathologie: Onderweg naar Computational Pathology en Ai, 26 May 2021.
- "Surviving Survival Analysis" (Tutorial series on Survival Prediction in Computational Pathology)
- Stopping CRISPR with Machine Learning - Invited talk at the warwick health global research priorities webinar , Dec. 4, 2020
- Whole Slide Images are Graphs - Invited talk at the Digital Pathology and AI Congress, Dec. 3, 2020
- Solving the cat and mouse puzzle with reinforcement learning
- Presentation in IJCNN 2020 on Generalized Neural Framework For Learning With Rejection
- Presentation in CVPR 2020 on Capturing Cellular Topology in Multigigapixel histopathology images
- Presentation in CVPR 2020 on Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients