Andreas Panteli  is a PhD candidate under the HISTO-AI project (2020-2024) which is a collaborative project between Ellogon.AI, the University of Amsterdam, and the Netherlands Cancer Institute. Andreas is an experienced doctoral researcher with a demonstrated history of working in the industry and academia alike. He is skilled in biomedical computer vision and digital pathology using artificial intelligence and machine learning with extensive leadership background. Together with Ellogon.AI, Andreas works on developing tumor and stroma segmentation algorithms along with lymphocyte detection and stromal tumor-infiltrating lymphocyte (sTIL) score prediction. He is passionate about pushing the scientific frontier in AI especially when applied for important causes such as medical research.