Yarden So

Yarden So currently serves as the Director of AI & Machine Learning at Prenetics, where he plays a pivotal role in shaping the company's innovative approach to genetic testing, disease screening, and personalized health management. In this capacity, Yarden leads a multidisciplinary team of data scientists, AI engineers, and medical experts to develop cutting-edge algorithms that enhance diagnostic accuracy and operational efficiency. His strategic vision focuses on integrating advanced AI technologies—such as Natural Language Processing (NLP), data modeling, and decision sciences—into Prenetics’ core products, enabling more precise and accessible healthcare solutions.

Under Yarden’s leadership, the team has successfully implemented machine learning models that improve the interpretation of complex genomic data, facilitate early disease detection, and support personalized treatment plans. His expertise in data intelligence and data historian tools ensures that the company leverages vast amounts of health data effectively, driving continuous innovation in medical diagnostics. Yarden’s hands-on experience with Python programming and his deep understanding of AI-driven decision sciences empower him to oversee the development of scalable, robust AI algorithms that meet the rigorous demands of clinical applications.

Beyond technical development, Yarden actively collaborates with cross-functional teams—including clinical researchers, product managers, and regulatory experts—to ensure that AI solutions align with industry standards and deliver tangible health outcomes. His strategic initiatives aim to position Prenetics at the forefront of digital health innovation, harnessing artificial intelligence to revolutionize personalized medicine and improve patient care worldwide.