Fang Jin
2010.09-2014.06, Tianjin University, Bachelor's degree in Biomedical Engineering
2014.09-2017.06, Peking Union Medical College, Biomedical Engineering, Master's degree
From April 2018 to April 2024, PhD from Vrije University Amsterdam (Netherlands)
July 2024, postdoctoral fellow/assistant researcher at the Institute of Automation, Chinese Academy of Sciences
She focuses on the research about brain stimulation. She integrated TMS information into MRI images and first made the open-source code for mapping TMS points into the MNI template. She is also interested in the innovation of TMS techniques and machine learning methods for brain research.
1. Overlap in the cortical representation of hand and forearm muscles as assessed by navigated TMS Fang Jin, Sjoerd M. Bruijn, Andreas Daffertshofer https://doi.org/10.1016/j.ynirp.2023.100183 Neuroimage:Reports(first author)
2. Accounting for stimulations that do not elicit motor-evoked potentials when mapping cortical representations of multiple muscles. 10.3389/fnhum.2022.920538 Fang Jin, Sjoerd M. Bruijn，Andreas Daffertshofer, Frontiers in Human Neuroscience- Brain Imaging and Stimulation (first author)
3. Machine learning approaches to predicting whether muscles can be elicited via TMS, Fang Jin, Sjoerd M. Bruijn, Andreas Daffertshofer, https://doi.org/10.1016/j.jneumeth.2024.110242., Journal of Neuroscience Methods (first author)
Best poster reward from "VVBN"
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Email：brain-ai@ia.ac.cn
