Izabela (Dr.) K.
Junior Research Group Leader
Experience
Mar 2025 - Present
8 monthsMunich, Germany
AI Data Projects – Annotation & Evaluation
Freelance & Career Transition Projects
- Hands-on work in data annotation, dataset QA, and labeling tools (Label Studio, CVAT).
- Conducted manual and automated checks on dataset integrity, annotation consistency, and labeling precision.
- Strengthened Python, SQL, and visualization skills for data-driven evaluation of AI systems.
- Developed documentation and guidelines for data annotation workflows to ensure reproducibility and clarity.
Sep 2021 - Feb 2025
3 years 6 monthsMunich, Germany
Junior Research Group Leader
LMU Munich
- Led interdisciplinary R&D projects in materials science and biosensing, managing data analysis, reporting, and collaboration across institutes.
- Translated scientific objectives into structured, data-driven project plans and quality control pipelines.
- Ensured precision in data collection, analysis, and documentation, fostering reproducibility and process efficiency.
- Supervised researchers, reviewed experimental datasets, and provided feedback to maintain research standards.
Apr 2014 - Sep 2021
7 years 6 monthsBraunschweig, Germany
Postdoctoral Researcher
- Developed advanced analytical methods for biosensing and energy applications, improving data accuracy and reproducibility.
- Initiated new research directions linking nanotechnology and diagnostics, securing grants and collaborations.
- Built lab infrastructure and mentored early-career researchers, laying the foundation for later leadership roles.
Summary
Physicist transitioning from academic research to AI and data-driven roles, combining a strong analytical mindset with hands-on experience in data annotation and quality assurance. Skilled in evaluating and structuring complex information with high attention to detail and accuracy. Experienced in research data workflows, process documentation, and cross-disciplinary collaboration. Currently developing deeper expertise in Python, SQL, and machine learning to contribute to high-quality data pipelines and the improvement of AI systems through precise evaluation and feedback.
Languages
Polish
NativeEnglish
AdvancedGerman
IntermediateEducation
University of Gdansk
M.Sc. · Physics · Gdańsk, Poland
Institute of Physical Chemistry Polish Academy of Sciences
Ph.D. · Chemical Sciences · Warsaw, Poland
Université Lille1
Ph.D. · Micro- and Nanotechnologies · Lille, France
Certifications & licenses
Mathematics For Machine Learning
Coursera
IBM Data Analyst Professional Certificate
Coursera
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