Mackenzie Carlson - PhD Student

Mackenzie is working on multi-modal image-based biomarker discovery and analysis using clinical and pre-clinical PET/MRI, along with immuno-PET tracer design, for Alzheimer's Disease. She is jointly advised by Dr. Zeineh and Dr. James.

Mackenzie's work is supported by the F31 Ruth Kirschstein Fellowship.

Email: mlc18@stanford.edu

Philip DiGiacomo - PhD Student

Phil is working on advanced MRI to study Alzheimer's micropathology and develop new biomarkers for iron and inflammation

Email: pdigiaco@stanford.edu

Mahta Karimpoor - Post-Doctoral Scholar

Mahta is working on analyzing the MRI data (rsfMRI, DTI, and ASL) for the lab’s study of head impacts in athletes.  Mahta received her PhD from University of Toronto, Department of Medical Biophysics where she focused on fMRI-compatible computerized cognitive tests, and a platform that supports real-world human interactions using augmented reality.

Email: mahtakp@stanford.edu

Marios Georgiadis - Post-Doctoral Scholar

Marios studies brain microstructure alterations in Alzheimer's disease, primarily using X-ray scattering and (diffusion) MRI. In his PhD in Bone Biomechanics (ETH Zurich) he developed X-ray scattering-based methods to investigate bone microstructure in 3D. In 2016, at the Institute for Biomedical Engineering of ETH Zurich, he started using imaging methods to study rodent brain microstructure, combining X-ray scattering with DTI, histology and CLARITY. In 2017 he joined the MRI Biophysics group at NUY School of Medicine to study human and mouse brain microstructure using X-ray scattering and diffusion MRI.

His research concerning brain imaging using X-ray scattering is supported by the Swiss National Science Foundation.

Email: mariosg@stanford.edu

Yixin Wang - PhD Student

Yixin is working on multimodal neuroimaging analysis, with a special focus on correlative MR-Histology in Alzheimer's diease. She is co-advised by Dr. Michael Zeineh and Dr. Kilian M Pohl.

Email: yxinwang@stanford.edu

Hossein Moein Taghavi - Life Science Research Professional

Hossein is working on the traumatic brain injury (TBI) study and conducting MRI scans for various studies in our lab including chronic fatigue syndrome (CFS). Hossein is also working on processing and analyzying the MRI data for studies ranging from segmentation of MRI and histology to diffusion tensor imaging (DTI).

Email: hmoein@stanford.edu

Zhou Zhou - Post-Doctoral Scholar

Zhou is working on uncovering brain injury mechanism by correlating on-field football impacts, to brain tissue deformation, to image-based evidence of injury.

Email: zhouz@stanford.edu

Emily Dennis - Visiting Faculty

Emily Dennis is a visiting researcher who leads an international neuroimaging consortium focused on traumatic brain injury. In the lab, she assists with studies of TBI in military veterans and athletes.

Email: eldennis@stanford.edu

William Ho - Visiting Student

Will is working on MRI data acquisition for investigating the effects of traumatic brain injury and chronic fatigue syndrome on the human brain. He is also optimizing a histology workflow on human brain tissue for correlating Alzheimer’s Disease microscopic slide pathology with MRI scans.

Email: howill37@stanford.edu

Nien-Chu Shih - Temporary Research Assistant 

Email: nienchus@stanford.edu

Mario Wences - Administrative Assistant

Email: marlan27w@stanford.edu

Undergraduates & Interns:

Dean Tran - Stanford Undergraduate 

Email: deantran@stanford.edu

Nicole Mouchawar - Research Assistant

Nicole is working on the Alzheimer’s and iron study, and the chronic fatigue syndrome study. She does patient recruitment, and she also runs the MRI scanners for various studies in the lab.

Email: nmouchaw@stanford.edu

Gustavo Chau - PhD Student

Gustavo is working on using different diffusion MRI features to try to help the diagnosis of epilepsy.

Email: gustavo.chau@stanford.edu

Isabelle Hack - Clinical Research Coordinator

Isabelle is the reasearch coordinator for the chronic fatigue syndrome study.

Email: iehack@stanford.edu

Carolyn Akers - Research Assistant

Carolyn is working on analyzing X-ray spectra data to characterize iron deposits in hippocampal sections from Alzheimer's disease patients. She has also contributed to manuscript writing and assists with MRI scans of study participants.

Email: cakers@stanford.edu

Sherveen Parivash worked on using experimental MRI techniques to validate and further characterize a potential clinical biomarker in chronic fatigue syndrome. He is also worked on using multi-modal MRI to define patterns of injury in contact sport athletes.

Payman Rezaii was the clinical research coordinator for the chronic fatigue syndrome study, focusing on study design and recruitment. He also worked on MRI acquisition and quality control.

Maged Goubran received his Ph.D. in 2014 from Robarts Research Institute in London, Ontario under the direction of Dr. Terry Peters. There, he performed quantitative in vivo MRI on epilepsy patients, correlated with post-surgical specimen MRI, and finally with quantitative histology.

At Stanford, Maged has been working on correlating specimen MRI with histology, in particular advanced techniques such as CLARITY. Additionally, he has been working on microstructural imaging in sports.

Dr. Wei Bian received his PhD from the UC Berkeley & UCSF Bioengineering program, focusing on using MRI to investigate tissue susceptibility in the human brain.

As a postdoctoral fellow at Stanford, Wei is studying inflammation in multiple sclerosis using quantitative susceptibility mapping (QSM) and effective relaxation rate (R2*) mapping with ultra-high resolution 7T MRI. He is also working on sequence development for faster and more effective acquisitions for QSM.

Jonathan Leong worked on PET-MR in Alzheimer's disease.

Scott McIntosh was an administrator for Michael Zeineh's Lab. 

Mansi Parekh first authored the 2nd paper ever written on the hippocampal endfolial pathway ("Ultra-high resolution in-vivo 7.0T structural imaging of the human hippocampus reveals the endfolial pathway," Neuroimage, 2015).