Dr. Viktor Pfaffenrot

Angestellt, Data Scientist, Landeskrebsregister NRW gGmbH
Essen, Germany

Skills

Data Analysis
problem-solving
Python
Data Visualization
Critical Thinking
Data Science
Statistics
R
RStudio
MatLab
C++
PostgreSQL
Machine Learning
adaptability
Quantitative Research
scientific computation
numerical simulations
physics
neuroimaging
public speaking
MRI
Scripting
GitHub
Linux
Latex

Timeline

Professional experience for Viktor Pfaffenrot

  • Current 1 year and 9 months, since Aug 2024

    Data Scientist

    Landeskrebsregister NRW gGmbH

  • 2 years and 8 months, 2022 - Aug 2024

    Postdoctoral Researcher | MR physicist

    Erwin L. Hahn Institute for MRI

    Methods development for high-resolution functional MRI of cortical layers with focus on the human hippocampus. *Built end-to-end research pipeline *Designed sequences on Siemens platforms (C++) for improved imaging of the human hippocampus *Acquired high-dimensional data on Siemens 7 T MR system *Developed data processing pipeline and shared with neuroscientists *statistically analyzed data (R, python) and visualized results *provided technical support for MR data acquisition for neuroscience

  • 2017 - 2022

    PhD Student

    Erwin L. Hahn Institute for MRI

    PhD student at the Erwin L. Hahn Institute for MRI, Essen, Germany, in collaboration with the Donders Institute, Radboud University Nijmegen. *designed RF pulses by numerically minimizing linear and regularized cost functions *Designed sequences on Siemens platforms (C++) *Acquired high-dimensional data on Siemens 7 T MR system *Designed image reconstruction *Developed data processing pipeline *conducted numerical simulations of temporal MR signals *statistically analyzed data and visualized results

  • 2015 - 2017

    Research Assistant

    Universitätsklinikum Essen

    Acquisition and analysis of 3 T MRI data of patients with degenerative cerebellar diseases and healthy volunteers. *Active data acquisition on a Siemens 3 T MRI system *curated and analyzed the data using statistical parametric mapping

Languages

  • German

    C2 (Expert / native speaker)

  • English

    C1 (Fluent)

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