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Freelancer Overview

I have no prior experience in data labeling or AI training. However, with a PhD in Biological Sciences and extensive experience in large-scale genomic data analysis, I bring a strong foundation in data accuracy, pattern recognition, and high-throughput data interpretation to AI training and data labeling projects. My work at Imperial College London and Nanyang Technological University involved designing and executing over 100 next-generation sequencing experiments, curating multi-omics datasets, and developing analytical pipelines in R and bash — all of which demanded meticulous attention to data integrity and consistency. Beyond technical expertise, I have a proven ability to understand complex biological and computational systems, communicate findings clearly, and collaborate across disciplines. My background in scientific research and data analysis equips me with the precision, critical thinking, and adaptability essential for producing high-quality labeled data and supporting the development of accurate, robust AI models.

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