Marco Loggia

In 2008, Marco Loggia was awarded a PhD In Neurological Sciences by McGill University in Montreal, QC (Canada). During his graduate studies, he had the opportunity to work at the Alan Edwards Centre for Research on Pain (formerly McGill Centre for Research on Pain) under the mentorship of its fir...

Chongzhao Ran

Chongzhao Ran, PhD, is an Associate Professor in Radiology at Massachusetts General Hospital and Harvard Medical School. He received a Master's degree in medicinal chemistry from China Pharmaceutical University and a PhD in medicinal chemistry from Shanghai Institute of Pharmaceutical Industry, C...

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...

David Izquierdo

Dr. David Izquierdo is an Instructor in the Department of Radiology at Massachusetts General Hospital / Harvard Medical School with interest in improving non-invasive molecular imaging quantification with combined PET/MRI scanners. In particular most of Dr. Izquierdo's research is applied to brai...

Byung Hee Yoo

Dr. Byung Hee Yoo's expertise lies in “theranostic cancer imaging." His research has focused on quantitative visualization of biological/physiological events. Since reporting the first peptidyl MR contrast agents, he has developed a wide spectrum of additional imaging probes for the quantitation ...

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 ...

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 ...

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...

Suk-tak (Phoebe) Chan

Dr. Chan joined the Athinoula A. Martinos Center for Biomedical Imaging at MGH in 2010 as an instructor.  Her current research focuses on imaging of cerebrovascular responses using ultrasound and MRI. She uses natural breathing/gaseous challenge to measure cerebrovascular responses in healthy sub...

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...

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...

Science on Tap

Science on Tap is a weekly Friday afternoon social where members of the Martinos community gather to eat, maybe have a libation or two, and get to know each other's work a little better. Every meeting features a 10 to 15 minute talk by a Martinos investigator about his or her latest research, inc...

The Year in Review: 2019

The MGH Martinos Center closed out the decade with yet another stellar year. In 2019, Center investigators reported advances in a range of areas – from technology development to basic science research and a host of clinical applications  – and generally showed surprising / not-in-the-least-bit-su...

The Road to MPI

Functional MRI has proved a transformative technology, yielding previously unimaginable insights into the workings of the brain. But what if there were another approach, one with dramatically higher sensitivity, that could shed even more light on these mysteries? What might we learn then? Larry ...