Daniel Al Mouiee
Software Engineer with robust expertise API development, medical imaging and data engineering, coupled with a comprehensive background in AI, data science, and Python programming. Part-time PhD student looking into decentralised machine learning (AKA. federated learning) at the University of New South Wales. Experienced in developing tools, optimizing processes, and contributing to research projects in the field of medical physics and artificial intelligence
REVIEWS FROM CLIENTS
Led the backend development for a web-based application to be used by Cancer Therapy Centres (CTC's) using Django. This involved ...
Led the backend development for a web-based application to be used by Cancer Therapy Centres (CTC's) using Django. This involved working with CTC Oncology Infomration Systems (OIS) and medical imaging databases, that are ingested by the application and used to perform heavy computation and produce results for the users. I led the integration of the software into the CTC's technology stack with IT teams and supported my colleagues with the full stack development as well as CI/CD integration pipelines.
- Spearheaded the development, deployment, and continuous maintenance of the cutting-edge \href{<a href="https://australian-cancer-...
- Spearheaded the development, deployment, and continuous maintenance of the cutting-edge \href{https://australian-cancer-data.network/}{Australian Cancer Data Network (ACDN)} technology, with a particular focus on the Australian Computer-Assisted Theragnostics (AusCAT) (https://australian-cancer-data.network/auscat.html) network stack.
- Pioneered the implementation of federated learning strategies throughout the AusCAT network, meticulously evaluating various open-source frameworks to ensure optimal performance and scalability.
- Designed and established robust pipelines for the analysis of radiation toxicity, coupled with the development of intuitive clinical dashboards tailored for precise treatment prescriptions.
- Exercised leadership as a key coordinator and co-manager of the software development team, overseeing and actively participating in the execution of tasks to maintain a high standard of software craftsmanship.
- Contributed significantly to the field of radiotherapy research by conceiving and developing the open-source pydicer ( https://github.com/AustralianCancerDataNetwork/pydicer) tool, dedicated to the standardization of data in the pursuit of advancing scientific rigor.
- Created Python scripts for Raystation treatment planning system.