Georgia “Gina” D. Tourassi is a prominent figure in the field of biomedical informatics, known for her contributions to computer-aided diagnosis and artificial intelligence (AI) in healthcare. She currently serves as the Director of the Oak Ridge National Laboratory health data sciences institute and is an adjunct Professor of radiology at Duke University. Tourassi began her academic journey at Aristotle University of Thessaloniki, where she pursued a degree in physics and graduated in 1987. She then moved to Duke University for her doctoral studies and earned a PhD in 1993. Throughout her research and career, Tourassi has made significant advancements in the use of big health data and AI in the field of epidemiology, particularly in relation to cancer. Her work focuses on the development of computer-aided diagnosis (CAD) systems, specifically in breast cancer screening. These systems are interactive, knowledge-based, and utilize information theory. One of Tourassi’s notable contributions is the development of indexing systems that enhance the efficiency of image analysis. She has also implemented techniques to monitor the reliability of CAD systems and advanced computational intelligence techniques like genetic algorithms. Her knowledge-based approach incorporates image entropy to identify the most informative medical images and flag potential cancer indicators. Tourassi’s expertise in the field led to her election as a member of the Food and Drug Administration (FDA) advisory committee on computer-aided diagnosis. This appointment highlights her impact on shaping the future of CAD systems. In 2011, Tourassi joined the Oak Ridge National Laboratory as the Founding Director of the Health Data Sciences Institute. In this role, she oversees the strategic agenda of the biomedical science and computing group. Tourassi has organized numerous biomedical research conferences at the institution, establishing herself as a driving force in the field. One of Tourassi’s primary interests is the development of automated tools for cancer surveillance. She has utilized the power of the Oak Ridge National Laboratory’s Titan supercomputer to implement deep learning techniques for extracting information from cancer pathology reports. These efforts align with the Cancer Moonshot 2020 initiative, aiming to accelerate progress in cancer research. Tourassi’s work extends beyond cancer diagnostics. She applies AI techniques to mammogram interpretation, avoiding context bias and improving the accuracy of diagnoses. Additionally, she has developed iCrawl, a user-oriented web crawler that collects online content for e-health research. Another noteworthy project Tourassi has contributed to is Oak Ridge Graph Analytics for Medical Innovation (ORiGAMI). This data tool supports diagnostics and research, with Tourassi employing it to explore literature related to genomics. Her collaborative efforts resulted in the development of a knowledge graph that enables the extraction of meaningful information from unstructured data. Throughout her career, Tourassi has been a passionate advocate for women and minorities in science and engineering. Her involvement in these areas highlights her dedication to promoting diversity and inclusivity within the field.