Multimodal Metabolic Brain Imaging Lab (Li Lab)

The Multimodal Metabolic Brain Imaging Lab (Li Lab) is focused on developing methods for obtaining reliable metabolic information from the brain in order to characterize spatial and temporal heterogeneity and the biologic behavior during disease time course and treatment. Specifically, this includes:

  1. Developing new methods for acquiring, processing and quantifying the spatial distribution of in vivo 1H MR metabolic profiles with high spatial resolution and whole brain coverage within clinical feasible acquisition time at both 3T and 7T scanners;
  2. Developing tools for generating metrics of brain neurotransmitters (glutamate, GABA and glutathione) to evaluate their roles in neurologic and psychiatric diseases;
  3. Integrating steady state 1H metabolic metrics with PET, hyperpolarized 13C and advanced MR imaging parameters in order to elucidate the underlying normal biological processes and to improve clinical evaluation of patients with glioma.

Multimodal Metabolic Brain Imaging Lab



We have a student research assistant position available for the summer 2019 (May-Aug) at the department of Radiology and Biomedical Imaging in the University of California, San Francisco. In particular, we are looking for a highly motivated person with programming experience to help with MR spectroscopy post-processing. The applicant will be trained in MR spectroscopy reconstruction and processing methodologies, and be expected to help with converting our software and processing tools to our existing open source packages. Through this project, the candidate will also have the opportunity to contribute to ongoing basic and translational research projects at UCSF that utilize MR spectroscopic imaging. 


The position requires an upper level undergraduate student in computer science or recent graduate with the knowledge of 

  • C++ and object oriented design
  • Linux and Linux development tools (compiler, debugger)
  • Git
  • Test driven development

How to Apply: 

The position is available from May to August, 2019. Applicants should email a CV along with the contact information for 2 references and recent research interests and activities to be sent to Yan Li at y[email protected].

The University of California is an affirmative action/equal opportunity employer.


Adam Autry
Postdoctoral Scholar
Email:  [email protected]

Huawei Liu
Post-doctoral Scholar
Email:  [email protected]

Marisa Lafontaine
Clinical Research Coordinator
Email:  [email protected]

Wendy Ma
Clinical Research Coordinator
Email:  [email protected]