- Publications: 'Adaptation Techniques for Visual Foundation Models for Continuous Quantification in Microscopy' (PhD thesis title)
- Projects: Involved in the DFG project 'Berlin Initiative for Applied Foundation Model Research (Appl-FM)'
Research Experience
- Work Experience: Over ten years of hands-on R&D experience in machine learning
- Research Projects: DFG project 'Berlin Initiative for Applied Foundation Model Research (Appl-FM)'
- Position: PhD Student
Education
- Degree: Mathematics
- University: Freie Universität Berlin
- Time: Not specifically mentioned
- Major: Mathematics
- Advisor: Not mentioned
Background
- Research Interests: Object Detection, Face Recognition, Segmentation, Depth Estimation
- Professional Field: Computer Vision and Machine Learning
- Brief Introduction: A PhD student at HTW Berlin, contributing to a DFG-funded project on applied foundation models in computer vision and machine learning.