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Freelancer Overview

I am a Ph.D. student in Molecular Genetics with hands-on experience in generating, managing, and analyzing large-scale genomics datasets, particularly in the medical and biological sciences. My background includes designing and executing single-cell CRISPR perturbation screens, as well as performing single-cell RNA-seq, ATAC-seq, and Hi-C analysis using Python and R. I am skilled in data annotation, curation, and quality control, having worked on projects that require precise labeling and interpretation of high-dimensional biological data. My experience spans both wet and dry lab environments, giving me a strong understanding of data integrity from collection through to computational analysis. I am adept at collaborating in multidisciplinary teams, problem-solving, and adapting to new data challenges, and am passionate about leveraging accurate data labeling to advance biomedical research and AI-driven discovery.

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