Chris Davies-Jenkins, PhD

Chris Davies-Jenkins

Postdoctoral Fellow
Johns Hopkins University School of Medicine

Email: cdavies9 [at] jhmi [dot] edu
Github: github.com/CWDAVIESJENKINS
LinkedIn: cwdaviesjenkins
GoogleScholar: scholar.google.com
Twitter: @CWDAVIESJENKINS

Biography:

In March 2014, Chris began his PhD under the supervision of Prof. Sophie Shermer, focusing on quantitative MR. Together they developed phantom-based methods to study relaxometry and MR spectroscopy (MRS), and—in collaboration with Dr. Frank Lanbein and Dr. Max Chandler at Cardiff University—developed neural network quantification for GABA-edited MRS (MRSNet), and applied quantum optimal control as a means of optimizing chemically selective RF-pulses.

After completing his Ph.D. in 2018, Chris joined Cardiff University’s Brain Research Imaging Center (CUBRIC) as the MRS fellow on their large multimodal brain imaging project, WAND. There he implemented the MRS arm of WAND, and supported several other MRS projects. He also worked as part of the team that brought diffusion-weighted MRS (dwMRS) to CUBRIC, developing acquisition and data processing strategies for dwMRS, particularly when utilizing their ultra-strong gradient Connectom scanner.

In March 2022 Chris joined Johns Hopkins University as a postdoctoral research fellow, under the supervision of Georg Oeltzschner. His main research interests lay in the development of novel methods for MRS and its emerging subsidiary fields. In particular, Chris hopes to aid Georg Oeltzschner and Helge Zöllner in developing their open-source MRS data analysis toolbox, OSPREY.

Contact:

cdavies9 [at] jhmi [dot] edu