Meng Law

Professor Meng Law is a leading academic in neuroscience and radiology, holding positions at Monash University and the University of Southern California (USC). He serves as Professor of Neuroscience at Monash, directs the iBRAIN Program, and holds roles such as Professor of Radiology and Director of the ADRC Neuroimaging Core at USC. His research focuses on neuroimaging biomarkers for neurodegenerative diseases like Alzheimer’s, leveraging AI and advanced MRI/PET technologies. Law has pioneered translational research in clinical trials for novel therapeutics and imaging techniques.

• Affiliations: Monash University (Department of Neuroscience, School of Translational Medicine), USC (Radiology, Neurological Surgery, Biomedical Engineering).
• Leadership: Director of iBRAIN, ADRC Neuroimaging Core, and Neuroradiology Fellowship Program.

Research Interests:
Law’s work integrates imaging (MRI/PET), genomics, and AI to diagnose neurodegenerative diseases early. He investigates biomarkers for Alzheimer’s, traumatic brain injury, and leverages machine learning for diagnostic and therapeutic applications. His lab develops tools like the PINGU algorithm for perivascular space analysis and synthetic MRI generation frameworks.

Recent Articles Trends:
Focuses on AI-driven imaging advancements, biomarker validation (e.g., pTau-217, plasma biomarkers), and clinical trial designs for statins/therapeutics. Recent studies explore low-field MRI optimization and spaceflight’s effects on brain health.

• Awards: Distinguished Investigator Award (2014), Fellow of American Society of Functional Neuroradiology (2022).

Grants & Projects:
Leads projects like STAREE-Mind (statins for Alzheimer’s prevention) and Sodium Selenate for PSP (Phase 2 clinical trial). Collaborates on datasets like RSNA’s RATIC and cervical spine fracture CT for AI training.

Labs & Teams:
Head of Law Group at Monash, directs USC’s Neuroimaging Lab, and collaborates internationally on biomarker initiatives. Active in multi-institutional trials and AI-driven imaging projects.