Research Fellow,
Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital, Harvard Medical School
Contact:
101 Merrimac St. #310A, Boston, MA 02114
Email: jli112 mgh
harvardedu
About:
I am a Research Fellow under a joint supervision by Dr. Bruce Fischl in the Laboratory for Computational Neuroimaging (LCN) at the Martinos Center and Dr. Brian Edlow in the Laboratory for NeuroImaging of Coma and Consciousness (NICC) at MGH, HMS. I received my Ph.D degree in the Biomedical Imaging Group, ECE, USC in 2019, advised by Dr. Richard Leahy. My research interests lie in the application of statistical signal and image processing and machine learning theory to modeling and analysis of biomedical data. Of particular recent interest, I’m focusing on the development of computational methods for analysis and inference of brain connectivity using data from a variety of spatiotemporal imaging modalities, such as stereotactic electro-encephalography (SEEG) and functional magnetic resonance imaging (fMRI).
News
2023/08: Congratulations to Thandar and Olesya for the work “Stereo-electroencephalography guided laser ablation in neocortical epilepsy: Electrophysiological correlations and outcome” published in Epilepsia.
2023/04: Congrats to Dr. Edlow and the team for the publication of “Measuring consciousness in the intensive care unit” in Neurocritical Care!
2023/02: Our work “Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain” is now published in NeuroImage.
2022/10: Congrats to Lars for his publication “Reduced subgenual cingulatedorsolateral prefrontal connectivity as an electrophysiological marker for depression” in Scientific Report!
2022/03: Congrats to Roni for the work on “Age differences in the functional architecture of the human brain” now published in Cerebral Cortex!
2021/12: Check out our preprint for a spatiotemporal functional atlas “The intrinsic spatiotemporal organization of the human brain - A multi-dimensional functional network atlas”
2021/12: “A robust variational autoencoder using beta divergence” led by Haleh Akrami has been accepted by Knowledge-Based Systems.
2021/11: “Mapping the subcortical connectivity of the human default mode network” is now published in NeuroImage. Here is a movie displaying the full subcortical map and a recorded talk as one of Poster Highlights at OHBM 2021 regarding this topic.