Jian (Andrew) Li is an Instructor at the A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School. His research interests lie in the application of statistical signal and image processing and machine learning theory to modeling and analysis of neuroimaging data. Currently, he focuses on the development of computational methods for functional brain mapping and functional registration.
Education
Ph.D. in Electrical Engineering, University of Southern California
Select Publications
Li, J., Tuckute, G., Fedorenko, E., Edlow, B.L., Dalca, A.V. and Fischl, B., 2024. JOSA: Joint surface-based registration and atlas construction of brain geometry and function. Medical Image Analysis, 98, p.103292.
Li, J., Liu, Y., Wisnowski, J.L. and Leahy, R.M., 2023. Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain. Neuroimage, 270, p.119944.
Li, J., Curley, W.H., Guerin, B., Dougherty, D.D., Dalca, A.V., Fischl, B., Horn, A. and Edlow, B.L., 2021. Mapping the subcortical connectivity of the human default mode network. Neuroimage, 245, p.118758.
Highlights
2021: Highlight, Poster Playlist, Organization for Human Brain Mapping
2019: Fellow, American Epilepsy Society
2019: Runner-up, Image Processing Best Paper Award, SPIE Medical Imaging