Bin Deng

Bin Deng, PhD, is a biomedical scientist whose research interests revolve around near-infrared (NIR) spectroscopy, functional optical imaging, the interactions between NIR light and tissue, noninvasive optical biomarkers and the pathophysiology of diseases. Dr. Deng investigates the intersection ...

Kestas Kveraga

Dr. Kveraga is a cognitive neuroscientist who studies the neural mechanisms of threat perception from naturalistic stimuli, with strong interests in visual pathway function and autism. He is also interested in neural aesthetics and how brain activity can be employed to predict and shape architect...

Jian (Andrew) Li

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 neuroi...

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...

Chieh-En (Jane) Tseng

I am an Instructor in Radiology with expertise in magnetic resonance imaging (MRI) and positron emission tomography (PET). My PhD focused on using structural, diffusion, and functional MRI to study cognitive functions and related neuroanatomy in very preterm born adults. I completed my postdoctor...

Xin Yu

Xin Yu studied Neuroscience and Biophysics at New York University, USA. During his Ph.D. training in Dan Turnbull’s lab, he implemented Manganese-enhanced MRI to study the auditory midbrain plasticity and mid-hindbrain development. Meanwhile, he was trained by Dan Sanes to target the inferior col...

Andre van der Kouwe

Dr. van der Kouwe does research in the field of MRI pulse sequence design and image analysis. He supports neuroscience research at the MGH and collaborating institutions by improving acquisition methods, providing techniques such as high-reliability imaging for quantitative brain morphometry with...

Vitaly Napadow

Vitaly Napadow is a Professor at Harvard Medical School and the Director of the Scott Schoen and Nancy Adams Discovery Center for Recovery from Chronic Pain at Spaulding Rehabilitation Hospital and the Director of the Center for Integrative Pain NeuroImaging (CiPNI)) at the Martinos Center for Bi...

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...

Nouchine Hadjikhani

Nouchine Hadjikhani, MD, PhD, is an Associate Professor of Radiology at Harvard Medical School, where she directs the Neurolimbic Research Laboratory. She is also an Assistant in Neurosciences at the Massachusetts General Hospital and a visiting professor at GNC, Gothenburg University, Sweden. Sh...

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 ...

Bragi Sveinsson

Dr. Bragi Sveinsson is an Assistant Professor in Radiology at Harvard Medical School. He earned his Ph.D. in Electrical Engineering from Stanford University, where his focus area was Magnetic Resonance Imaging, or MRI. In his research, Dr. Sveinsson is mainly interested in imaging methods for ...

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...

Robert Frost

Dr. Robert Frost's research focuses on improving the quality and efficiency of brain MRI through modification of the acquisition and image reconstruction. He has developed methods to accelerate the acquisition of high-resolution diffusion MRI and has used real-time feedback techniques that adapt ...

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...

Jyrki Ahveninen

Dr. Ahveninen's mission is to apply novel and improved techniques to achieve more accurate estimates of human brain function than previously achieved. His work focuses on neuroimaging of human auditory system, auditory working memory and higher-order auditory cognition using techniques including ...

Anastasia Yendiki

Dr. Anastasia Yendiki's background is in statistical signal and image processing. She received a PhD in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic reconstruction for nuclear imaging under the supervision of Jef...

Hong Hsi Lee

Hong-Hsi Lee, MD, PhD, is a medical imaging scientist with diverse background and extensive research experience in biophysical modeling, numerical simulations, tissue biology, and in vivo human imaging. His undergraduate and master’s training in medicine and physics in Taiwan and subsequent docto...

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 ...

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...