Douglas Greve

Douglas Greve, PhD, has a passion for delivering cutting-edge tools to the neuroscience community. He joined the FreeSurfer team 20 years ago and has been developing neuroimaging software ever since. His career has offered him an exciting mixture of engineering, physics, software development and ...

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...

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...

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...

Bruce Fischl

Bruce Fischl, PhD, is a Professor of Radiology at Harvard Medical School and Director of the Laboratory for Computational Neuroimaging at the Martinos Center for Biomedical Imaging. A leader in the field of image processing and analysis, he has spearheaded the development of a range of innovative...

Paul Raines

Paul Raines, PhD, was initially hired at the center as a scientific programmer in the Freesurfer group. Within his first year he took over management of all of the Center's computational infrastructure. He now manages a group of four IT specialists that maintains over 400 Linux analysis workstati...

Shasha Li

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...

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 ...

Ross Mair

As the Head of MR Physics at the Harvard University Center for Brain Science, Neuroimaging facility, Dr. Mair's role involves investigation and implementation of novel MRI methods for neuroimaging using the 3.0T MRI scanner, along with facility management duties. His research time has been split ...

Sara Lazar

Sara W. Lazar, PhD, is an Associate Researcher in the Psychiatry Department at Massachusetts General Hospital and an Assistant Professor in Psychology at Harvard Medical School. The focus of her research is to elucidate the neural mechanisms underlying the beneficial effects of yoga and meditatio...

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 ...

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 ...

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...

Noam Peled

I have a broad background in neuroimaging, with specific training and expertise in analyzing and visualization of multi-modality neuroimaging datasets. I received my Ph.D. degree in machine learning and games theory from Bar-Ilan University in 2014, and in 2015 I started my position as a research...

Jean Augustinack

The main goal of Dr. Augustinack's research is to validate neuroimaging, such as MRI, with ground truth histologic analyses and to advance neuroanatomical and pathological biomarkers for in vivo imaging. Her laboratory bridges the domains of ground truth histologic staining and MRI tissue propert...

Tommi Raij

Dr. Raij is a researcher currently serving as the Director of Transcranial Magnetic Stimulation (TMS) Clinical Research at the Martinos Center. He aims to understand the human brain mechanisms and improve the treatment of psychiatric and neurological disease, such as depression, schizophrenia, co...

Qiyuan Tian

Dr. Tian’s research lies at the interface of neuroimaging, signal processing, machine learning and neuroscience. He is interested in developing cutting-edge human neuroimaging methods using magnetic resonance imaging (MRI), particularly diffusion MRI, for mapping the tissue microstructure and str...

Malte Hoffmann

Malte's research focuses on the development of computer-vision algorithms for medical image processing and analysis using artificial intelligence. He is particularly interested in registration, which captures the spatial relationship between objects from images. Malte's work also includes exploit...

Randy Buckner

Randy Buckner, PhD, is the Sosland Family Professor of Psychology and of Neuroscience at Harvard University affiliated with the Center for Brain Science and Director of the Psychiatric Neuroimaging Research Division at the Massachusetts General Hospital. He has been faculty of the Athinoula A. Ma...

Shahin Nasr

For the past 15 years, Shahin Nasr, PhD, has studied the visual system of humans and non-human primates using a variety of techniques, from psychophysics and event-related potentials (ERP) to conventional and high-resolution functional MRI, in order to understand the neural mechanisms underlying ...