Main Focus

  • I am mainly interested in the effects of memory and attention on and the role of the hippocampus and amygdala in making food choices and thereby energy regulation and body weight status. To investigate these effects, we are running a dietary intervention study with functional, structural and diffusion-weighted MR imaging. Body weight status in general and obesity in specific are important factors for cognitive functions and brain structure - therefore, we further evaluate effects of bariatric surgery on these two domains.

  • Following more physics-related interests, I investigate the impact of scanner, sequence and preprocessing pipeline on diffusion imaging outcome parameters. To do so, I evaluate quantitative differences in the images of identical diffusion-weighted sequences collected on two Siemens 3T Magnetom MRI scanners, Verio and Skyra. This way, we want to find measures for the comparability of the scans.   

  • Working with diffusion-weighted images, I am also comparing different artefact removal tools on a quantitative level. The aim is to integrate a tool to address the Gibbs Ringing artefact in the standard preprocessing pipeline of diffusion-weighted images.

Curriculum Vitae

Academic Education

2015–2017 Master of Science in Biophysics, University of Frankfurt

Master Thesis at the Laboratory for Clinical Neuroscience, Universidad Politécnica de Madrid: "Intracranial Responses from Human Amygdala to Verbal Oddball Stimuli."

2011–2015 Bachelor of Science in Physics, University of Mainz

Bachelor Thesis at the Institute for Molecular Biophysics, University of Mainz: "Contribution to the Crystal Structure Analysis of a blue and a red respiration protein."


Career

Since December 2017 PhD candidate, Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig.

June 2015 - May 2017 Student Research Assistant, Max Planck Institute for Brain Research, Department of Connectomics, Frankfurt.

Computer-based reconstruction of electron microscopy data. Results published in ‘webKnossos: Efficient Online 3D Data Annotation for Connectomics’, Nature Methods 14, 691-694.




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