I am an MSc Bioinformatics student at Freie Universität Berlin, based in Berlin. My work focuses on applied machine learning, biomedical image analysis, sequencing workflows, and clean Python-based tools for biological data analysis.
I like working on projects where biology, data, and software come together. My focus is not only on building models, but also on making workflows understandable, reproducible, and useful for real analysis tasks.
Instance segmentation and classification of microscopy images, with a focus on biological objects such as worm eggs and developmental stages.
Reproducible workflows for bacterial genome analysis, including quality control, assembly, annotation, and comparative genomics.
Applied ML projects for biological and biomedical datasets, including classification, feature analysis, evaluation, and interpretation.
A selected overview of projects from my GitHub profile and university work. These projects reflect my main interests: bioinformatics, machine learning, sequencing data, and biomedical image analysis.
AI-assisted instance segmentation and developmental stage classification of Ascaris suum embryogenesis microscopy images. The project combines annotation, model training, evaluation, and biological image analysis.
Practical course project at FU Berlin and RKI focused on outbreak detection using SARS-CoV-2 sequencing data and metadata. The work connects bioinformatics analysis with a public health use case.
Reproducible bacterial genome analysis workflow with quality control, assembly, annotation, and downstream analysis. Built with a focus on structure, automation, and reproducibility.
Applied sequence analysis project focused on practical bioinformatics workflows and Python-based analysis of sequencing data.
Course-related machine learning projects and implementations for life science data analysis, including model development, evaluation, and practical coding exercises.
Bachelor thesis project on implementing a recursive run-length block approach in the context of the FM-index. The project reflects my background in algorithmic bioinformatics and data structures.
Tools and topics I use across my academic and practical projects.
I am open to research collaborations, student projects, internships, and practical work in bioinformatics, applied AI, biomedical image analysis, and data-driven life science projects.