Meet Our Team

Dr Christine Guo
Team Head, Translational Neuroscience, QIMR Berghofer
Affiliations: Queensland Brain Institute, Centre of Advanced Imaging, Royal Brisbane Women’s Hospital
Dr. Guo received a B.Sc in Biological Sciences from Peking University and a Ph.D. in Neuroscience from the Stanford University, School of Medicine, followed by postdoctoral training at the Memory and Aging Center (UCSF). She has broad research experience, from molecular biology and genetics to electrophysiology and systems neuroscience. Her work focuses on understanding selective vulnerability at the network level in health and in neurodegenerative diseases, using modern neuroimaging techniques. She is also developing neuroimaging methods to understand the body-brain interaction and its breakdown in neurological and psychiatric disorders.

Dr Jinglei Lv
Postdoctoral Research Fellow, QIMR Berghofer
Dr. Lv received a B.S. and a M.S. in Control Science and Engineering from Northwestern Polytechnical University. He received a Ph.D in Pattern Recognition and Intelligent System from Northwestern Polytech nical University with 4 year’s neuroimage research training in University of Georgia, after which he received a half year postdoctoral training in University of Georgia, Computer Science Department.His research interests include multi-modality brain imaging analysis, functional brain network modeling, brain disease bio-marker modeling, machine learning methods and applications to neroimage analysis.

Romal Stewart
PhD candidate, University of Queensland
Romal Stewart's research is focused on the utilizing a unique population of stem cells found within the nose to model neurodegenerative disorders. He is currently using these expertise to design translational therapies for Alzheimer's Disease and other neurodegenerative disorders.
Dr Matthew Aburn
Mathematical Neuroscience Research Fellow, QIMR Berghofer
Dr Aburn is a neuroscientist and mathematician with a focus on epilepsy research. In collaboration with Mater Hospital he is developing new systems for epilepsy neuroimaging, diagnosis, presurgical planning and treatment. Current work spans biomedical modelling, stochastic dynamical systems, computational Bayesian inference and computer vision.





Saskia Bollman
Yudan Ren
Tianji Pang
Jiahui Wang
Saurabh Sonkusare

Nikitas Koussis

Yifan (Emily) Sun