Deakin University
Doctor of Philosophy, Molecular Medicine
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As a PhD-level scientist with over 12 years of laboratory experience, I bring a rigorous approach to data integrity and high-complexity information processing. My background in Molecular Medicine and Biomedical Engineering has required a meticulous commitment to precision, where I have spent a career annotating, validating, and interpreting complex biological datasets, including qPCR and HPLC results, to ensure absolute accuracy. I possess a deep understanding of standard operating procedures (SOPs) and regulatory standards, such as those governed by the Board-Certified Medical Affairs Specialist (BCMAS) certification, ensuring that any data labeling or model training I perform meets the highest quality benchmarks. I am uniquely qualified to assist in the development of specialized AI training data for the healthcare and life sciences sectors. My international background across four countries has made me a highly adaptable communicator capable of bridging the gap between technical complexity and clear, accurate data classification. With a proven track record of handling diverse biological samples and managing strict documentation under GLP guidelines, I offer the analytical precision and ethical rigor necessary to train AI models for mission-critical medical and scientific applications.
Mia N. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Doctor of Philosophy, Molecular Medicine
Master of Biomedical Engineering, Biomedical Engineering
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Postdoctoral Fellow