Hanwen Bi

Hanwen Bi

Ph.D. Student


Neuroimaging, Sleep & Computational Psychiatry, Machine Learning


+49 2461/61-85947





Forschungszentrum Jülich GmbH
52428 Jülich

Institut für Neurowissenschaften und Medizin (INM)

Gehirn und Verhalten (INM-7)

Gebäude 14.6y / Raum 3042

Warum und woran ich forsche

I am a second-year Ph.D. student at FZJ INM7 and HHU, advised by Dr. Masoud Tahmasian and Prof. Dr. Simon Eickhoff. Previously, I received my M.S. 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 B.Eng. 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 disturbance, 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 federated learning and geometric deep learning, which are important aspects of multi-site data and advanced neuroimage analysis.

Letzte Änderung: 04.09.2023