Karl Helmer

Karl Helmer, PhD, maintains research interests in several areas: (1) the creation of data management and sharing infrastructure; (2) the development of imaging protocols for multi-site MR imaging-based studies; (3) the creation of quality control and assessment software for MRI data; and (4) deve...

Lisa Feldman Barrett

Lisa Feldman Barrett, PhD, is University Distinguished Professor of Psychology and Director of the Interdisciplinary Affective Science Laboratory (IASLab) at Northeastern University. She also holds research appointments in the Psychiatric Neuroimaging Program in the Department of Psychiatry and a...

Randy Gollub

Randy Gollub, MD, PhD, is Professor of Psychiatry at Harvard Medical School and Clinical Professor of Psychiatry with a secondary appointment in Radiology at Massachusetts General Hospital, where she serves as the Associate Director of Translational Research in the Neuroimaging Research Program. ...

Ona Wu

The research goals of Dr. Wu's group are to improve the diagnosis, prognosis and management of patients with brain injury by quantifying and monitoring injury or recovery on an individual patient basis. The group focuses particularly on stroke, cardiac arrest and traumatic brain injury. Predictin...

Matthew Rosen

Dr. Matt Rosen is a physicist, tool-builder and inventor whose research bridges the spectrum from fundamental physics to applied bioimaging work in the field of MRI. He established the Low-Field MRI and Hyperpolarized Media Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging to ...

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 ...

Hsiao-Ying (Monica) Wey

Dr. Hsiao-Ying (Monica) Wey is currently an Assistant Professor of Radiology at Harvard Medical School and Massachusetts General Hospital. She received her PhD in Medical Physics from the University of Texas Health Science Center at San Antonio in 2011 and completed her postdoctoral training at t...

Lilianne Mujica-Parodi

Lilianne R. Mujica-Parodi is Director of the Laboratory for Computational Neurodiagnostics (LCNeuro). LCNeuro's research focuses on the application of control systems engineering and dynamical systems to imaging-derived time series, at all scales: from human fMRI, M/EEG, fNIRS to rodent LFP and c...

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...

Iris Yuwen Zhou

Iris Yuwen Zhou, PhD, is an Instructor in Radiology at Massachusetts General Hospital and Harvard Medical School and a faculty member in the Athinoula A. Martinos Center for Biomedical Imaging. Dr. Zhou’s work focuses on developing novel MRI methodologies that quantify molecular, metabolic, funct...

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...

Jayashree Kalpathy-Cramer

Dr. Kalpathy-Cramer is an Associate Professor of Radiology at Harvard Medical School, Co-Director of the QTIM lab and the Center for Machine Learning at the Athinoula A. Martinos Center and Scientific Director at the MGH & BWH Center for Clinical Data Science. Her research areas include machi...

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...

Lilla Zollei

Dr. Lilla Zollei's research focuses on the design and development of quantitative analysis tools for neuroscientific problems. She builds and tests computational tools that can be used for both individual and group studies and investigate, through the combination of image information from multipl...

Bastien Guerin

Dr. Guerin's research focuses on MRI (and to some extent PET) technology development and translation to neuro-imaging to help better understand the human brain. He has several areas of specialization: (i) Modeling and optimization of radio-frequency (RF) and gradient MR sub-systems. Dr. Geurin's...

Roberta Sclocco

Dr. Sclocco has a background in bioengineering and signal processing, with specific training in non-invasive neuroimaging (e.g., fMRI, EEG) and peripheral autonomic data analyses. Since the beginning of her career, she have been interested in the interactions between the central and peripheral au...

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...

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...

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...

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 ...