Wu Lab

The research lab of Yu-Chien Wu, MD, PhD, is actively investigating a wide range of radiology and imaging topics. Dr. Wu is particularly focused on studying diffusion physics in biologic system using diffusion MRI.

members of the wu lab

Wu Lab featured in national IU commercial

Expertise

The Wu Lab is a national leader in neuroscience expertise. From working on studies like the CARE Consortium, the world's most comprehensive concussion study, to uncovering early diagnosis treatments for Alzheimer's disease, the Wu Lab is a pioneering hub for research excellence at IU School of Medicine and across the country.


Images of brain scans for Alzheimer's.

Alzheimer's Disease

With current treatments only managing symptoms, research is needed to address early diagnosis and intervention.

Imagings of brain scans for animials.

Animal Imaging

In vivo assessments on a mouse model find disruptions in microstructural integrity and neurite organization.

Images of brain scans for concussion.

Sport-Related Concussion

The relationship between blood-based neural biomarkers and white matter neuroimaging in collegiate athletes.

Images of brain scans.

Human Imaging

The lab highlights the growing impact of computational methods, combined imaging techniques, and animal models in advancing neuroscience research.

Images of brain scans for TBI.

Traumatic Brain Injury (TBI)

The lab addresses the sensitivity issues of conventional medical imaging techniques in detecting mild traumatic brain injury (mTBI) by utilizing hybrid diffusion imaging (HYDI).

Research funding

Research collaborations are pivotal in advancing research within the Wu Lab. These partnerships help foster synergy, pooling diverse expertise and resources to tackle complex challenges. From access to specialized equipment, funding, and data, to amplifying research capabilities — shared knowledge accelerates innovation, refining diagnostic techniques and potential treatment strategies.

Ultimately, partnerships amplify a lab's impact, driving transformative progress in neuroscience.

Salman Shahid (left) and Yu-Chien Wu (right) sitting on a bench smiling at the camera. A small tree is in the background.

Current opportunities:

Postdoctoral fellow

Eligibility:

  • Educational Qualification: MD or PhD in medical physics, bioengineering, biomedical engineering, computer science, data sciences or related disciplines. 
  • Experience: At least four years of training (including graduate school) with a solid background in the principles of MRI data acquisition and neuroimage processing and a strong interest in diffusion MRI research and development. 
  • Software Skills: Strong computational background with programming experience (e.g., MATLAB, Python, C/C++); experience with statistical software R or SPSS; image processing and visualization with software tools (e.g., FSL, SPM, FreeSurfer, ANTs, pMOD, etc.). 
  • Selection criteria: We are looking for self-motivated and open-minded candidates who are comfortable working in a collaborative environment. The successful candidate will participate in collaborative clinical and preclinical research programs and will work together with neuroradiologists, neurologists, psychiatrists, psychologists, neuroscientists, computational neuroscientists, statisticians, physicists and research scientists. A candidate with good writing and communication skills is desirable. 
  • Preferred but not required: Knowledge of MRI physics, MRI sequence design and/or image reconstruction, and application of machine learning and deep learning in MR image processing. 

How to apply:

Please send a cover letter, CV and contact information of three references to Kirsten Adams (kbowden@iu.edu).

Get connected

Stay up to date on the latest research by the Wu Lab and reach out to current team members.