University of Pennsylvania, Perelman School of Medicine
Doctor of Philosophy, Biochemistry, Biophysics, and Chemical Biology
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I am a PhD candidate with extensive experience in generating, analyzing, and managing complex scientific datasets, particularly in the biomedical and clinical research domains. My work has involved high-resolution imaging techniques such as cryo-electron tomography (cryo-ET), cryo-correlative light and electron microscopy (cryo-CLEM), and cryo-focus ion beam SEM, where I have optimized sample preparation and data quality for structural analysis. I have also managed and analyzed large-scale clinical and serological data for academic and pharmaceutical partners, including projects with the CDC and American Red Cross, ensuring data accuracy and reproducibility. My background has equipped me with strong attention to detail in data annotation, validation, and quality control, as well as proficiency in Microsoft Excel and advanced experimental design. I am passionate about contributing to high-quality AI training datasets, especially in medical and life science applications, and I excel at communicating complex data and standardizing workflows for efficient, reliable results.
Quynh N. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Doctor of Philosophy, Biochemistry, Biophysics, and Chemical Biology
Bachelor of Science, Biochemistry
PhD Candidate
Clinical Lab Specialist II