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Evaluation/RatingI have experience working with AI and machine learning techniques in computational biology and bioinformatics. My work has involved preparing, cleaning, and annotating biological datasets, performing data quality checks, and supporting the development and evaluation of machine learning models for biological data analysis. I am familiar with handling structured and unstructured datasets, applying labeling guidelines consistently, and validating outputs to ensure high-quality training data. Additionally, I have experience using Python and data analysis tools to process large-scale biological datasets, including genomic and transcriptomic data. I understand the importance of accurate annotation, quality control, and reproducibility in AI-driven biological research, and I am comfortable working with complex datasets while following detailed project requirements.
I have experience with biological data annotation, curation, quality control, sample classification, and dataset preparation for machine learning and bioinformatics research. My work involved labeling and validating genomic/transcriptomic datasets, maintaining data quality, and using Python-based tools for preprocessing and analysis.
M.Sc. Biophysics
Masters' dissertation in computational biology
