Iโm a Masterโs student in Translational Medicine with a Bachelor's in Computing Science, specializing in machine learning for healthcare. My research is using AI to forecast blood glucose trajectories using large-scale electronic health records, with the goal of optimizing healthcare operations and improving patient outcomes.
๐ฆ๐ฒ๐น๐ฒ๐ฐ๐๐ฒ๐ฑ ๐ช๐ผ๐ฟ๐ธ๐:
โ Presented first-author at European Association for the Study of Diabetes (EASD) 2025 in Vienna, one of the world's largest medical conferences.
โ Front-end dev: Built an e-commerce website in React for Zero RampUp.
โ Back-end dev: Django APIs for a distributed social platform.
โ Computer vision: YOLOv5 / U-Net for detection & segmentation in addition to Detectron2 for autonomous vehicle navigation; deployment with Docker.
๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐ฆ๐ธ๐ถ๐น๐น๐ & ๐ง๐ผ๐ผ๐น๐:
Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SQL, React, Django, Docker, Git; MongoDB, PostgreSQL.
Iโm excited about roles where data science meets practical deploymentโcollaborating with experts like clinicians and engineers to turn models into measurable impact.
Portfolio: leenzebdeh.github.io Contact: LeenAlzebdeh1@gmail.com