Undergraduate Research Assistant, Lam Lab
Utilized image processing techniques to quantify clot formation in glass capillary tubes for diagnostic purposes. Designed and implemented automated pipelines in Python and OpenCV to extract frames and pixels from images. Labeled and classified image data to analyze platelet activity as part of a biomedical engineering research project. • Developed and maintained classification criteria for image analysis. • Leveraged Python and OpenCV for image data extraction and labeling. • Ensured high-quality, accurate labeled datasets for downstream analysis. • Collaborated with a research team to improve quantitative image analytics.