Scholar
Amaya Gallagher-Syed
Google Scholar ID: UYDwER0AAAAJ
Queen Mary University of London
Citations & Impact
Citations
107
H-index
4
i10-index
3
Publications
14
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- 1. BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
- 2. Perteval-scfm: Benchmarking single-cell foundation models for perturbation effect prediction
- 3. Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?
Research Experience
- Working at the intersection of AI, biology, and health
- Research Focus: Developing biologically aligned, explainable deep learning algorithms for multistain histopathology data and transcriptomics of autoimmune diseases
Education
- PhD Student at the Digital Environment Research Institute (DERI) of Queen Mary University of London
- Supervisors: Professors Michael Barnes, Myles Lewis, and Greg Slabaugh
Background
- Machine Learning Scientist | BioAI
- Research Interests: Developing biologically aligned, explainable deep learning algorithms for multistain histopathology data and transcriptomics of autoimmune diseases.
Miscellany
- You can reach out to me by email or LinkedIn!
Co-authors