Computer Science Graduate (Caleb University) | ML Research | Building Computer Vision Applications.
- Aspiring computational pathology researcher.
- Diving deep into PyTorch, Computer Vision, and Vision Transformer (ViT) architectures.
- Open to collaborating on AI/ML projects and research implementations.
- Reach me: alafiade@gmail.com
- Languages: Python
- ML/DL: PyTorch, scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Digital Pathology: OpenSlide, LazySlide, StainTools
- Working through Phase 1 of my self-study computational pathology curriculum: whole-slide image (WSI) tiling and stain normalization (Macenko, Reinhard).
- Comparing low-level (OpenSlide) and high-level (LazySlide) approaches to WSI processing.
- Reading up on pathology foundation models (UNI, CONCH, Virchow).
I'm sharing my projects and insights on LinkedIn: linkedin.com/in/alafiade-olukayode-b84192416