cv
Basics
| Name | Katharina Alina Kötter |
| Label | Computational Neuroscientist (PhD) |
| 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
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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
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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
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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
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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
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2019.09 - 2025.03 Munich, Germany
PhD
Technical University of Munich
Computational Neuroscience
- Machine Learning
- Computer Vision
- Neural Signal Processing
- Behavioral Analysis
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2016.09 - 2018.08 Stockholm, Sweden
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2012.10 - 2016.07 Heidelberg, Germany
Certificates
| International Zebrafish and Medaka Course | ||
| IZMC | 2024-01-01 |
| FELASA certificate in Laboratory Animal Science | ||
| FELASA | 2024-01-01 |
Publications
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2024.01.01 A Behavioural Setup for Capturing Fine Grained Coordinated Movements of Zebrafish Larvae
FENS 24 (Poster), Preprint
Built a high-precision setup for tracking freely swimming zebrafish larvae while acquiring high-resolution images. Described fin dynamics using Laplacian embedding and time series analysis with DeepLabCut annotation and automatic segmentation.
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 |