People
Principal Investigator

Associate Professor of Radiology
Bio
Dr. McNab is an MRI Physicist focused on the development of magnetic resonance imaging (MRI) contrast mechanisms and acquisition strategies that yield new and/or improved images of the in vivo human brain. Over the past two decades, she has developed numerous MRI acquisition methods, with her primary contributions being in the field of diffusion MRI. Dr. McNab has extensive experience with the most cutting-edge MRI technology, including the world's strongest and fastest human-MRI gradients, highly-parallelized phased-array RF coils and ultra-high magnetic field. Dr. McNab is Senior Fellow of the International Society for Magnetic Resonance in Medicine and a Distinguished Investigator of The Academy for Radiology & Biomedical Imaging Research.
Instructors

Instructor, Radiology
Bio
Dr. Erpeng Dai's research interest is focused on advanced neuro MRI technique development and application. Previously, he has developed a series of novel techniques for high-resolution and fast diffusion MRI (dMRI). Currently, he is mainly working on distortion-free dMRI, advanced diffusion encoding, and brain microstructure and connectivity studies.
Research Scientists

This profile is not available

Physical Science Research Scientist, Radiological Sciences Laboratory
Bio
I am a research scientist at the Stanford Department of Radiology Lucas Center for Imaging in Dr Jennifer McNab's lab.
My current projects include MRI-based diffusion tractography in patients with neuropsychiatric conditions (e.g., pain and depression), who undergo stereoencephalography (SEEG). This is a personalized, invasive form of electrical stimulation and recording of brain electrical signals that aims to guide subsequent neurosurgery.
Postdocs

Postdoctoral Scholar, Radiological Sciences Laboratory
Bio
Dr. Shailja is a Postdoctoral researcher in the Radiological Science Laboratory at Stanford. She recently completed her PhD in Electrical and Computer Engineering at the University of California, Santa Barbara. Her research vision is to model healthcare data for precise diagnostics using AI and to integrate domain knowledge to "close the loop" between surgeons, physicians, and scientists. Her Ph.D. dissertation focused on developing a principled approach to model the white matter pathways in the human brain to analyze the topology of brain connections. At the Radiological Science Laboratory, she primarily focuses on mapping MRI structural and functional connectivity imaging data with electrophysiological measurements in the epilepsy patients.
Graduate Students
Looking for new graduate students to join us.
Clinical Coordinator

Administrative Staff

Senior Administrative Associate, Radiology
Bio
AA3 at Stanford University at The Stanford Radiological Sciences Laboratory (RSL), a research division of the Department of Radiology centered on the areas of Magnetic Resonance Imaging, X-Ray/Computed Tomography, and Ultrasound; supporting the labs of Drs. Daniel Ennis, PhD; Dr. Kawin Setsompop, PhD; Dr. Jennifer McNab, PhD.
Alumni
Name | Degree | Position | Current Position |
Seul Lee | Ph.D. in Electrical and Electronics Engineering | Graduate Student Research Assistant | Currently employed at Apple |
Qiyuan Tian | Ph.D. in Electrical Engineering | Graduate Student Research Assistant | Assistant Professor in Biomedical Engineering at Tsinghua University |
Sam Cartmell | Doctor of Medicine | Medical Scholar Research Fellow | Radiology Resident at Massachusetts General Hospital |
Christian Thaler | Doctor of Medicine | Visiting Scientist | Physician in Radiology at UKE Hamburg |
Muhamed Barakovic | Ph.D. in Electrical Engineering | 2018 EPFL-Stanford Exhange Student | Imaging Biomarker Data Analyst at Roche |
Lilly Zhou | Bachelor of Science in Computer Science | Undergraduate Summer Student | Software Engineer at Apple |
Grant Yang | Ph.D. in Electrical Engineering | Graduate Student Research Assistant | Imaging Engineer at Oculus VR |
Jessica Tseng | - | Undergraduate Summer Student | - |
Supriya Sathyanarayana | Ph.D. in Computer Engineering | Post-Doctoral Fellow | Machine Learning Research Scientist at Hitachi America |
Kris Quah | Ph.D. Candidate in Electrical Engineering (2019 Cohort) | Graduate Student Research Assistant | Senior Researcher at Nike |
Daniel Barbosa | Doctor of Medicine | Post-Doctoral Fellow | Senior Research Investigator at University of Pennsylvania |
Joe Barreto | - | Undergraduate Summer Student | Undergraduate Student (Senior) at University of Pennsylvania |
Max Benabou | - | Undergraduate Summer Student | Undergraduate Student (Sophmore) at Stanford |
Anjali Datta | Ph.D. in Electrical and Electronics Engineering | Post-Doctoral Fellow | Post-Doctoral Scholar in Neurosurgery at Stanford |
Ethan Lee | - | Undergraduate Summer Student | Undergraduate Student at Rochester University |
Christoph Leuze | PhD in Physics | Post-Doctoral Fellow, Research Scientist | Research Scientist and Director of Visualization Core at the Stanford Wu Tsai Institute for Neuroscience |
Sarah Kim | Bachelor of Science | Clinical Research Coordinator | Attending Medical School |
Runze Xu | - | Undergraduate Summer Student | Undergraduate Student |
Gustavo Chau Loo Kung | Ph.D. in Bioengineering | Graduate Student | Post-Doctoral Scholar in Psychiatry at Stanford, in the lab of Dr. Adeli, Translational AI (STAI) Lab |