Principal Investigator

Fuyixue Wang, PhD
Dr. Wang is an Assistant Professor of Radiology at the Athinoula A. Martinos Center, MGH/HMS. She obtained her Ph.D. from MIT in Harvard-MIT Health Sciences and Technology. Dr. Wang’s research focuses on developing MRI technologies to improve sensitivity, specificity, and efficiency in studying human brain function, structure, and physiology.

Zijing Dong, PhD
Dr. Dong is an Instructor of Radiology at the Athinoula A. Martinos Center. He received his Ph.D. in Electrical Engineering and Computer Science from MIT. His research focuses on developing MRI acquisition and reconstruction techniques to improve spatiotemporal resolution, data quality, and information content for structural and functional imaging.
Members

Jian Wu, PhD. Postdoctoral Fellow
Jian Wu is a Research Fellow at the Athinoula A. Martinos Center. Jian received his PhD degree from Xiamen University. His research focuses on pulse sequence development and optimization, including EPTI on the open-source Pulseq platform, as well as advanced image reconstruction methods.

Daniel Haenelt, PhD. Postdoctoral Fellow
Daniel Haenelt is a Research Fellow at the Athinoula A. Martinos Center. He received his PhD from Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. His research interest lies in applying novel high-resolution fMRI acquisition and deep learning methods to enhance spatiotemporal resolution, sensitivity, and specificity for mapping functional cortical layers/columns.

Zhangxuan Hu, PhD. Postdoctoral Fellow
Zhangxuan Hu received his PhD degree in Biomedical Engineering at Tsinghua University. His ongoing research focuses on developing novel pulse sequences, reconstruction, and processing methods for efficient water-fat separation and distortion-free multi-contrast quantitative imaging, targeting body imaging applications.

Mingxiao (James) Zhang, PhD. Postdoctoral Fellow (joining in 2025 spring)
Mingxiao received his PhD training in Bioengineering from the University of Illinois Urbana–Champaign (UIUC). He has strong expertise in pulse sequence development and data analysis. His research interest lies in developing quantitative flow imaging techniques with high spatiotemporal resolutions to study lymphatic/glymphatic systems in humans.

Kaibo Tang, Visiting student
Kaibo Tang is currently a student at UNC-Chapel Hill, and a visiting student at the Athinoula A. Martinos Center. His research focuses on developing deep learning reconstruction and accelerated acquisition methods to achieve fast and robust mesoscale diffusion MRI in vivo.

Kyle Droppa, Research Assistant
Kyle is a research assistant/coordinator with extensive experience in coordinating human MRI studies. He supports participant enrollment, assists in MRI scanner operations for human scanning, and manages human subjects protocols.
Collaborators (subset)
Lawrence Wald, PhD, Professor of Radiology at Harvard Medical School
Susie Huang, MD, PhD, Radiologist in Neuroradiology, Associate Professor of Radiology at Harvard Medical School
Jonathan Polimeni, PhD, Associate Professor of Radiology at Stanford University
Laura Lewis, PhD, Associate Professor of IMES and EECS, MIT
Bruce Rosen, MD, PhD, Professor of Radiology at Harvard Medical School
Timothy Reese, PhD, Assistant Professor of Radiology at Harvard Medical School
Hong-Hsi Lee, MD, PhD, Assistant Professor of Radiology at Harvard Medical School
Leo Tsai, MD, PhD, Radiologist in Abdominal Imaging, Assistant Professor of Radiology at Harvard Medical School
Ovidiu Andronesi, PhD, MD, Associate Professor of Radiology at Harvard Medical School
Kawin Setsompop, PhD, Associate Professor of Radiology at Stanford University
Berkin Bilgic, PhD, Associate Professor of Radiology at Harvard Medical School
Shahin Nasr, PhD, Assistant Professor of Radiology at Harvard Medical School
Padmavathi (Sundaram) Patel, PhD, Assistant Professor of Radiology at Harvard Medical School
Anastasia Yendiki, PhD, Associate Professor of Radiology at Harvard Medical School
Chiara Maffei, PhD, Instructor of Radiology at Harvard Medical School