André Döring

André Döring is a Postdoctoral Researcher at the Center for Biomedical Imaging (CIBM) within the Swiss Federal Institute of Technology in Lausanne (EPFL), where he joined in September 2023. He contributes to cutting-edge neuroimaging research under Principal Investigator Assistant Professor Lijing Xin, focusing on SNSF-funded projects that develop novel MRI methodologies for brain disease characterization.

Educational background:

• Diploma in Physics, University of Dresden (2014)
• PhD in Biomedical Sciences (specializing in Diffusion MR Spectroscopy), University of Bern (2019)

Dr. Döring's research centers on advancing multiparametric diffusion-encoding strategies for ultra-high-field MRI scanners. His work uniquely integrates cellular microstructure analysis, metabolic profiling, and functional connectivity to detect early pathomorphological alterations in psychiatric and neurodegenerative disorders. Key applications target prodromal stages of Alzheimer’s, Parkinson’s, Multiple Sclerosis, Schizophrenia, and Depression, where conventional imaging fails to identify subtle biomarkers. He emphasizes clinical translation through partnerships with neuroscience clinics.

Scientific recognition:

• Swiss National Science Foundation (SNSF) Fellowship (awarded twice)

As an active SNSF grant recipient, Dr. Döring leads technical development for the “neurometabolic connectome” project while collaborating internationally with institutions like Cardiff University’s Brain Research Imaging Centre. Though not a primary student supervisor, he contributes to training through the CIBM’s research ecosystem. His methodology bridges physics-based sequence design and clinical neuroscience, supported by EPFL’s 7T MRI infrastructure.

Dr. Döring operates within the CIBM’s MR Imaging Technology Section, leveraging cross-disciplinary teams to innovate diffusion-MRS techniques. His current work with PI Lijing Xin establishes frameworks to correlate metabolic dysfunction with microstructural changes in psychiatric disorders, utilizing advanced data processing pipelines for Connectom scanner datasets.