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...

Christopher Bridge

Dr Bridge is trained as an engineer, with MEng (Distinction) and DPhil degrees from the University of Cambridge and University of Oxford, respectively. He has worked in the area of medical image analysis for nearly a decade. His work on his doctoral thesis involved the development of a system for...

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 ...

Dania Daye

Dania Daye, MD, PhD is an Assistant Professor of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School. She is the co-director of IR Research at MGH and Director of the Precision Interventional and Medical Imaging (PIMI) Research Group. Her research centers around the appli...

Fang Liu

Fang Liu is the Director of the Intelligent Imaging Innovation and Translation Lab at Athinoula A. Martinos Center for Biomedical Imaging and Assistant Professor of Radiology at Harvard Medical School. His research focuses on medical image acquisition and reconstruction, image analysis and proces...

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 ...

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...

Albert Kim

I am a medical oncologist with interests in using machine learning and Omics to develop precision-based treatment paradigms for cancer patients. I have a special interest in central nervous system metastases, and my laboratory efforts leverage Omics-based techniques, medical imaging, and machine ...

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 ...

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...

Hakan Ay

Dr. Hakan Ay is an MD with residency training in Neurology and fellowship training in Vascular Neurology. He currently serves as an Associate Professor at Harvard Medical School with appointments in both departments of Neurology and Radiology at the Massachusetts General Hospital. Dr. Ay has 28 y...

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...

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 ...

Hamid Sabet

Hamid Sabet, is Assistant Professor of Radiology at Harvard Medical School and a Cyclotron/Medical Physicist at the Division of Nuclear Medicine and Molecular Imaging, Radiology Department, Massachusetts General Hospital. He is the director of Radiation Physics and Instrumentation Lab at the Mart...

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...

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...

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...

Christopher Nguyen

The Nguyen lab focuses on the development and clinical application of novel imaging techniques to characterize the cardiovascular system including MRI, optical, and PET. Our primary research interests fall into four general areas: (1) bio- inspired design for heart assisted devices (Science Robot...

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...