Jagath Rajapakse

Professor Jagath Rajapakse develops deep learning and multi-omics integration for brain disease diagnosis and biomarker discovery.

Professional profile

Jagath Rajapakse is a Professor in the College of Computing & Data Science at Nanyang Technological University (NTU). Over the course of his career, he has held visiting positions at leading research institutions around the world, including the Max Planck Institute for Cognitive and Brain Sciences in Germany, the U.S. National Institute of Mental Health, and the Department of Biological Engineering at MIT. He serves as Editor of Engineering Applications in Artificial Intelligence and used work as Associate Editor for several major IEEE journals. In recognition of his contributions to brain image analysis, he was named an IEEE Fellow in 2012.

His research sits at the intersection of data science, machine learning, brain imaging, and computational and systems biology. He has authored more than 300 peer‑reviewed publications, with his work cited over 14,000 times, and he has been ranked among the top 2% of scientists worldwide in a recent Stanford study. Across these areas, his work is driven by a strong focus on understanding the brain through data and computation.

Currently, Professor Rajapakse’s research is centered on developing advanced tools for the diagnosis and treatment of brain diseases. He works on deep‑learning methods to detect and segment brain structures, lesions, and tumors from CT and MRI scans, and studies brain connectivity using functional MRI and DTI for disease identification and biomarker discovery. He is also exploring how neuroimaging data can be combined with multi‑omics information—such as genomics and proteomics—to gain deeper insights into neurological and psychiatric disorders.