Dr. Saw is an AI researcher specializing in healthcare applications, with a keen interest in leveraging machine learning and bioinformatics to improve disease detection and management. She earned her Bachelor’s degree from Universiti Malaya in 2013, followed by the President’s Graduate Fellowship from the National University of Singapore (NUS) in 2015, which supported her doctoral research in artificial intelligence-driven healthcare solutions.

Following her Ph.D., Dr. Saw worked as a Research Scientist at the Bioinformatics Institute, Agency for Science, Technology and Research (BII, A*STAR), Singapore, under the mentorship of Dr. Hwee Kuan Lee. Her work focused on integrating AI, deep learning, and computational modeling to advance precision medicine and medical diagnostics.

Dr. Saw has since returned to Universiti Malaya, where she continues to explore cutting-edge AI methodologies for healthcare applications, particularly in early disease detection, predictive modeling, and clinical decision support systems. Her research aims to bridge the gap between artificial intelligence and real-world medical challenges, developing innovative solutions that enhance patient outcomes and optimize healthcare delivery.