Samuel McDermott

Samuel McDermott is an Associate Teaching Professor at the Department of Chemical Engineering and Biotechnology, University of Cambridge. He serves as the Sensor CDT Programme Manager, focusing on interdisciplinary research in healthcare, biotechnology, and open-source hardware.

His research spans machine learning applications in medical imaging, laboratory automation, and web-of-things (WoT) integration for scientific equipment. Recent work emphasizes federated learning in healthcare, blood cell morphology classification, and low-cost diagnostic tools.

Key article trends include: deep diffusion models for malaria detection, open-source microscopy platforms like OpenFlexure, and AI-driven clinical data generalization. His projects often combine 3D-printed hardware and IoT-enabled laboratory systems.