Dynamic Undergraduate Research Assistant with a proven track record at the KNUH Clinical Omics Center, specializing in deep learning for medical image analysis. Proficient in PyTorch and collaboration, I have significantly enhanced project outcomes through innovative research and effective teamwork. Skilled in computer programming and delivering impactful presentations, my work is characterized by pioneering solutions and strategic insights.
Machine Learning and Deep Learning
Medical Data Analysis and Preprocessing
Systematic Literature Review in a Broad Medical Spectrum
Creating presentations and Meeting participation