People

Principal Investigator

Jennifer A McNab
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

Erpeng Dai
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

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Beatrix Krause-Sorio
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

Shailja
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

Martin Schneider
Clinical Research Coordinator 2, Rad/Nuclear Medicine

Administrative Staff

Jaqueline Velazquez
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