Summary
Meng Kuan is a Research Assistant Professor and computational neuroscientist with 14 years of experience building end-to-end imaging and medical informatics systems for brain mapping and clinical decision support. He has led lab setup and cloud-based computational pipelines at RIKEN’s Marmoset Neural Architecture lab and University of Pittsburgh, developing ML tools to detect tracer-labeled neurons and assemble whole-brain connectivity maps. His background blends clinical imaging (PET-CT, MRI), signal and image processing, and full-stack web/mobile development, informed by a PhD in Medical Informatics and hands-on work automating high-resolution histological image tiling and visualization. He pairs academic research and teaching with practical engineering—setting up clusters, HPC, and cloud services—and brings uncommon experience translating neuroscience workflows into scalable software platforms. Fluent in Mandarin and English, he bridges multidisciplinary teams across countries to deliver reproducible neuroinformatics solutions.
14 years of coding experience
8 years of employment as a software developer
Bachelor, Medical in Public Health, Bachelor, Medical in Public Health at Tzu Chi University
Master, Information Technology, 5.25 GPA out of 7, Master, Information Technology, 5.25 GPA out of 7 at Queensland University of Technology
Doctor of Philosophy (PhD), Medical Informatics, 6 GPA out of 7, Doctor of Philosophy (PhD), Medical Informatics, 6 GPA out of 7 at University of Southern Queensland
English, Chinese, Mandarin