Dr. Jaky Kueper works at the intersection of machine learning and epidemiology, focusing on harnessing value from diverse data sources to improve population health and well-being. This is achieved through both the careful application of existing techniques and the development of new approaches. With over seven years of experience in AI for primary care, Dr. Kueper has led projects to identify primary care-specific needs and opportunities in AI development, evaluation, and implementation. Additionally, Dr. Kueper has collaborated directly with primary care organizations to co-develop AI models tailored to their needs. Interdisciplinary engagement is central to Dr. Kueper's approach, and contributions have been made towards AI for health capacity-building initiatives in Canada and the United States to raise awareness and promote the inclusion of health professionals in AI.