Shasha Li, M.D., Ph.D., joined the faculty at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) with the goal of improving the understanding of the physiological implications of altered neural networks in neurological diseases. She has made substantial contributions to the fie...
Search Results: Bran Mapping
Thomas Yeo
Thomas Yeo is an Assistant Professor at the National University of Singapore (NUS). Thomas received his B.S. and M.S. from Stanford University and Ph.D. from the Massachusetts Institute of Technology. Prior to NUS, Thomas was a research fellow at Harvard University and Duke-NUS Medical School. Th...
Mathias Davids
Mathias Davids, PhD, is currently an Instructor in Radiology at Harvard Medical School. He received a BSc in Biomedical Engineering at University of Luebeck in 2011, and an MSc and Ph.D. in Biomedical Physics at Heidelberg University in 2014 and 2018, respectively. Dr. Davids has a strong backgro...
Yuanyuan Jiang
Dr. Jiang’s research focuses on multi-modal fMRI brain imaging technology in rodent models. He is developing a novel multichannel fiber-optic mediated extracellular glutamate and intracellular calcium recording with high-filed MRI to study different brain states. Dr. Jiang’s work also includes de...
Jingyuan Chen
Dr. Chen's research lies at the interface of neuroimaging technology, signal processing and neuroscience. She is interested in integrating state-of-the-art fMRI and multi-modal imaging techniques to achieve novel, comprehensive insights into our brain's function and physiology. One line of her cu...
Adrian Dalca
Adrian V. Dalca is an Assistant Professor at A.A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, and Research Scientist at CSAIL, MIT. He obtained his PhD from CSAIL, MIT. His research focuses on developing new machine learning techniques and probabilistic models to analyze ...
Joseph Mandeville
Dr. Mandeville focuses on understanding relationships between imaging signals and physiology and using this information to improve information content derived from noninvasive neuroimaging. Research leverages all aspects of multimodal imaging to understand functional imaging methods and the brain...
Malte Hoffmann
Malte Hoffmann is a faculty member in Radiology at Harvard Medical School and Affiliated Faculty in the Health Sciences and Technology Division at MIT. He received a Bachelor’s degree in physics from the University of Paris XI and a Master’s degree and PhD from the University of Cambridge, specia...
Sava Sakadzic
Dr. Sakadzic obtained his Ph.D. with Dr. Lihong Wang at Texas A&M University and completed his postdoctoral training with Dr. David Boas at the Massachusetts General Hospital. His group is developing state-of-the-art optical microscopy imaging technologies and utilizing them to better understand ...
Anna Blazejewska
Dr. Blazejewska’s research focuses on combining high-resolution anatomical and functional imaging to study the relationships between tissue microstructure and function in the healthy and diseased brain. She is interested in developing the next generation of methodologies allowing for microstructu...
Martin Reuter
Dr. Martin Reuter is an Assistant Professor of Radiology and of Neurology at Harvard Medical School and the Massachusetts General Hospital (Assistant in Neuroscience, Dept. of Radiology and Dept. of Neurology). He is affiliated with the Martinos Center for Biomedical Imaging and the German Center...
Mainak Jas
Dr. Jas completed his PhD from Telecom ParisTech. His thesis focused on automating MEG/EEG analysis pipelines. He is a proponent of open and reproducible science. He has been a key contributor to several open source neuroimaging tools: most notably MNE-Python, MNE-BIDS, and HNN-core. He develope...
Heidi Jacobs
The Jacobs Lab aims to detect the earliest brain changes that contribute to cognitive decline and behavioral changes associated with the earliest stages of Alzheimer's disease. Our focus is on neuroimaging method development, biomarker evaluation and testing new preventive interventions targeting...
Kawin Setsompop
Dr. Setsompop is an Associate Professor of Radiology at Harvard Medical School and an affiliated faculty member at Harvard-MIT Division of Health Sciences and Technology (HST). He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and ...
Seppo Ahlfors
Dr. Ahlfor's research focuses on non-invasive neuroimaging --- in particular, the analysis and interpretation of magnetoencephalography (MEG) signals. He has developed methodologies for multimodal integration of MEG, electroencephalography (EEG) and structural and functional magnetic resonance im...
Sheraz Khan
Dr. Sheraz Khan is an Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT). He has developed novel signal processing methods for understanding neural underpinnings of autism. His publications, including Khan ...
Jonathan Polimeni
Jon Polimeni, PhD, is an Assistant Professor of Radiology at Harvard Medical School. His PhD thesis was on the measurement and modeling of visuotopic maps in macaque and human visual cortex. His postdoctoral training was under the supervision of Professor Lawrence L. Wald at the Athinoula A. Mart...
Yi-Fen Yen
Over the past two decades, Dr. Yen has devoted herself to the development of advanced MRI techniques, for hyperpolarized metabolic imaging, cancer imaging and functional imaging in clinical and pre-clinical research. She is an MR physicist with >100 publications in peer-reviewed scientific jou...
Lucia Navarro de Lara
My research is focused on elucidating the mechanisms of network-level brain responses to non-invasive brain stimulation methods. Based on the development of the “RF-EEG Cap”, the first-of-its-kind wearable RF head coil and the related signal processing tools, I envision a complete solution for co...
Jessie Fang-Lu Fu
Dr. Jessie Fang-Lu Fu's research focuses on the translational application of multimodal neuroimaging, Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI), and machine learning in neurodegenerative disorders. Her main research interests include (i) evaluating the capability of ...