Summary
Lijun An is a postdoctoral research fellow at Lund University with eight years of experience applying machine learning to neurodegenerative disease research, integrating brain imaging, proteomics, and genomics to enable automated diagnosis and differential biomarker discovery. Holding a PhD in Electrical and Computer Engineering from NUS and a background in electronics and telecommunications, Lijun focuses on uncovering mechanisms of neurodegeneration and aging while building research and clinical toolkits that translate models toward practice. He has moved between leading academic labs in Singapore and Sweden, blending rigorous signal-processing and ML methods with biomedical insight. Colleagues describe him as methodical and interdisciplinary, able to navigate both algorithm development and experimental data challenges.
8 years of coding experience
High School Diploma, High School Diploma at 山东省日照市第一中学
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Harbin Institute of Technology
Exchange Student, Telecommunication, Exchange Student, Telecommunication at INSA Lyon - Institut National des Sciences Appliquées de Lyon
PhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at National University of Singapore