Summary
Hazem Ahmed is a PhD candidate at Erasmus MC with a decade of experience applying deep learning to high-stakes problems, currently optimizing radiotherapy treatment planning and designing robust uncertainty and outlier-detection pipelines for large-scale DICOM datasets. Previously he improved production ML for semiconductor lithography at Siemens EDA, bridging research and engineering by integrating TensorFlow models into C++ systems and building Optuna-based hyperparameter frameworks. He is the creator of practical open-source projects like GSK-opt/GSK-RL and Neural Knapsack, reflecting a rare blend of ML research, optimization, and reinforcement-learning expertise. Comfortable across the full ML lifecycle, Hazem automates experimentation, scales pipelines for 1,000+ patients, and collaborates closely with clinicians to translate models into clinical workflows.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Alexandria University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Erasmus University Rotterdam
English, Arabic