cv

Basics

Name Katharina Alina Kötter
Label Computational Neuroscientist (PhD)
Email katharina.alina.koetter@gmail.com
Url https://kkoetter.github.io/
Summary Computational Neuroscientist (PhD) specializing in machine learning, computer vision, and behavioral and neural signal processing. Expert in Python-based image analysis pipelines, microscope development, and closed-loop behavioral systems.

Work

  • 2025.07 - Present
    Research Operations Assistant
    Metajoin Ltd.
    Part-time research position implementing an open source local LLM RAG approach on private data.
    • LLM implementation
    • RAG systems
    • Private data processing
  • 2019.05 - 2019.09
    Research Assistant
    Max Planck Institute for Biological Intelligence
    Research position in Computational Neuroscience with R. Portugues running and analysing zebrafish behaviour and imaging experiments using Light Sheet Microscopy.
    • Zebrafish behavior analysis
    • Light Sheet Microscopy
    • Computational Neuroscience
  • 2019.02 - 2019.05
    Research Assistant
    Center for Psychosocial Medicine, University of Heidelberg
    Clinical research position with O. Gruber, investigating depression through Genome Wide Association Analysis with plink, and fMRI imaging.
    • GWAS analysis
    • fMRI imaging
    • Depression research
  • 2017.09 - 2018.03
    Erasmus Intern
    Institute for Medical Psychiatry, University of Heidelberg
    Clinical research internship to establish and optimise an Eye-Tracker Method in a social safety learning study with M. Eckstein using SPSS and psychological questionnaires.
    • Eye-tracking methodology
    • Social safety learning
    • SPSS analysis

Education

  • 2019.09 - 2025.03

    Munich, Germany

    PhD
    Technical University of Munich
    Computational Neuroscience
    • Machine Learning
    • Computer Vision
    • Neural Signal Processing
    • Behavioral Analysis
  • 2016.09 - 2018.08

    Stockholm, Sweden

    MSc
    Karolinska Institutet
    Biomedicine
    • Single-molecule imaging
    • Fluorescent in situ hybridization
  • 2012.10 - 2016.07

    Heidelberg, Germany

    BSc
    University of Heidelberg
    Bioscience
    • Cell Biology
    • Neurobiology
    • Biomimicry

Publications

Skills

Programming & Development
Python (OpenCV, TensorFlow, PyTorch, scikit-learn)
R (Statistical analysis, data visualization)
Git version control
GPU-accelerated computing
Machine Learning & Data Science
Deep learning
Computer vision
Neural networks
Time series analysis
Statistical modeling
Image processing
Neuroscience & Image Analysis
Neural signal processing
DeepLabCut (Pose estimation)
Light sheet microscopy
Confocal microscopy
Behavioral analysis
Closed-loop systems

Languages

German
Native speaker
English
Fluent
Russian
Conversational

Interests

Activities
Bouldering
Painting
Photography
Volunteering