About.

Simon has been working at the intersection of machine learning and pathology for over a decade. With a background in both biomedical science and computer science, he recognised early the transformative potential of digital tools in pathology. Since 2016, he has worked across industry and academia to turn this vision into reality. His experience spans pathology laboratories, robotics labs, startups, government research, and universities, providing him with deep insight into business, regulatory frameworks, product development, and the collaborative networks that drive innovation. The term Areté means to pursue with excellence one's life purpose - Areté Informatics embodies Simon's commitment to advancing pathology through innovative digital solutions.

Simon holds a BSc in Biomedical Science and a Master of Bioinformatics (MBinf). His PhD in Machine Learning focused on applying AI to classify and characterise histopathology images of skin cancers. In subsequent years, he has applied these methods to gastrointestinal, prostate, and breast cancers, as well as immunohistochemistry slides and reporting. Interpretability in medical AI diagnostics remains a central research interest, and underscores Areté Informatics' machine learning methodology. Beyond computational analysis, he has worked extensively in software engineering and hardware development, including computer vision systems and mechatronic prototyping.

Digital pathology adoption remains slow worldwide, hindered by obstacles including cost, infrastructure requirements, regulatory challenges, clinical validation, and workflow integration. Yet the promise is clear. Areté Informatics is centred on the pathologist - we deeply respect their scientific and clinical expertise and hold ourselves to the same standard. Our vision and products are designed to empower pathologists and shape the future of their discipline. We're not simply improving efficiency or accuracy; we believe digital pathology will deepen our scientific understanding of disease and advance the discipline itself.