Dr. Mogana Darshini Ganggayah
Dr. Mogana Darshini Ganggayah is a data scientist, researcher, and educator specializing in health informatics, artificial intelligence, machine learning, and predictive analytics. Her research focuses on leveraging data-driven approaches to improve healthcare outcomes, particularly in disease diagnosis, prognosis, risk prediction, mental health monitoring, and clinical decision support systems. With expertise spanning machine learning, deep learning, data mining, statistical modelling, database systems, and data visualization, she is passionate about transforming complex healthcare data into actionable insights that support evidence-based decision-making and healthcare innovation.
Dr. Mogana obtained her Bachelor of Science (Bioinformatics) with Distinction from Universiti Malaya in 2018 and completed a fast-track PhD in Data Science in 2021. Following her doctoral studies, she joined the University Malaya Medical Centre (UMMC) as a Data Scientist, where she translated research findings into practical healthcare solutions and analytical pipelines. Her research portfolio includes collaborations with local and international institutions, including researchers from the University of Cambridge (UK), Universitas Indonesia, and Homi Bhabha Cancer Hospital (India). She has contributed extensively to the field through peer-reviewed publications, interdisciplinary research projects, and the development of innovative healthcare analytics frameworks addressing chronic diseases, mental health, digital health, and population health challenges.
Currently a Senior Lecturer in Business Analytics at Monash University Malaysia, Dr. Mogana actively integrates research, teaching, and industry engagement to advance data science adoption across healthcare and business domains. She has published numerous articles in high-impact international journals and has led and contributed to various innovation and consultancy projects involving healthcare analytics, business intelligence, and artificial intelligence applications. As an HRD Corp Accredited Trainer, she has trained more than 3,000 professionals, academics, researchers, and students in areas such as machine learning, artificial intelligence, big data analytics, business intelligence, Python programming, and data visualization. Through her work, she continues to champion digital transformation, data literacy, and AI-driven innovation to address real-world challenges in healthcare and beyond.
