Hanwen Bi

I am a fifth-year PhD candidate at FZJ INM7 and HHU, advised by PD Dr. Masoud Tahmasian and Prof. Dr. Simon Eickhoff. Previously, I received my MSc of Biomedical Engineering (BME) from Columbia University in 2021, where I focused on machine learning and deep learning based medical image analysis in Prof. Andrew Laine's group. Before that, I gained my BEng degree from Northeastern University (Shenyang, China) with a major in BME in 2019.

During my Ph.D. study, my main focus lies in the association between sleep, brain structure, and cognitive performance, especially utilizing machine learning methods on a large-scale worldwide population-based cohort throughout the ENIGMA-Sleep consortium and UK Biobank. By developing interpretable machine learning frameworks, we hope to drive the neurobiological account of sleep and sleep disorders from neuroimaging and demographic data. I'm also interested in the application of graph neural networks for brain network analysis and geometric deep learning for shape analysis. After 2024, I'm exploring the application of foundation models and LLM in neuroimaging and healthcare.