Philip Nkwam is an AI and Data specialist dedicated to transforming digital health through innovative technology. With extensive experience in medical imaging, he has played a key role in developing deep learning algorithms, collaborating with institutions like St Cyril Cancer Treatment Foundation and MIT. Philip’s work focuses on adapting AI models to the unique challenges of Black populations especially from Sub-Saharan Africa, ensuring they are effective and accessible across diverse populations.

Leading teams in high-impact projects, such as the BRATS Africa Hackathon, Philip has demonstrated his expertise in advanced architectures like Vision Transformers and U-Net for glioma segmentation. His leadership resulted in a 0.93 Dice score in 3D MRI brain tumor segmentation, highlighting his ability to drive significant advancements in healthcare AI.

Driven by a personal commitment to democratize healthcare, Philip is passionate about making advanced diagnostic tools accessible to underserved populations. His strong foundation in quantitative methods and statistical analysis, coupled with his experience in medical software, positions him as a key innovator at the intersection of AI and digital health. A trusted collaborator and effective communicator, Philip is dedicated to pushing the boundaries of AI to improve global healthcare.