Royal Academy of Engineering Research Fellow
I develop novel methods for acquiring and reconstructing high-resolution, high-SNR MRI data from human brain. My current interest is to develop new diffusion MRI techniques to map brain connectivity and microstructure. I'm also actively working on general fast imaging approaches, numerical optimisation and machine learning.
I received a Marie Curie ITN fellowship at Oxford and obtained my DPhil in 2018. I obtained M.Sc degree in Biomedical Engineering from Tsinghua University in Beijing before I joined FMRIB. I worked on spiral imaging, non-Caretesian reconstruction, optimisation methods for my master thesis.
A machine learning approach to diffusion mri partial volume estimation
Vallee E. et al, (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11037 LNCS, 42 - 51