Summary
Manal Helal is a lecturer and computational scientist with 14 years of experience applying numerical analysis, high-dimensional tensor modeling and AI to real-world problems across academia and industry. She combines parallel and cloud computing expertise with signal processing, graph-based modeling and stream processing to accelerate data reshaping, sparse-array analytics and machine learning workflows. Her research spans computational biology, source separation for audio, and clinical data linkage—work that has moved from HPC clusters to AWS GPU instances. With a PhD from UNSW and teaching roles at multiple UK universities, she blends hands-on implementation (including migrating 3D reconstruction to cloud GPUs) with curriculum delivery in networking and mobile computing. Colleagues know her for bridging deep mathematical methods and practical engineering to make large-scale, multidisciplinary data projects reproducible and deployable.
14 years of coding experience
14 years of employment as a software developer
Msc, Computer Science, Msc, Computer Science at The American University in Cairo
UNSW Sydney