Summary
Philippe Morere is a Chief Data Scientist and Tech Lead based in Sydney with 11 years of experience turning advanced ML research into production-grade systems across fintech, HR, aerial surveillance and defense. Holding a PhD in Machine Learning from the University of Sydney, he combines deep expertise in reinforcement learning, optimization and computer vision with practical MLOps and DevOps practices to deploy robust pipelines and architectures. He leads and mentors cross-functional teams, frequently working client-side to translate evolving requirements into delivery-focused R&D and product features. Notable projects include anomaly detection for banking, LLM/NLP-driven talent platforms, and end-to-end ML pipelines for sports betting and aerial imagery, demonstrating an unusual blend of academic rigor and product pragmatism. He also teaches and builds teams, bringing an educator’s clarity to complex technical choices and a track record of moving research prototypes into production.
11 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université de Bordeaux
Mechatronics Robotics and Automation Engineering, Mechatronics Robotics and Automation Engineering at Tohoku University
Master of Engineering (Diplôme d'ingénieur) Telecommunications Software Engineering, Master of Engineering (Diplôme d'ingénieur) Telecommunications Software Engineering at Enseirb-Matmeca
The University of Sydney
Theoretical and Mathematical Physics, Theoretical and Mathematical Physics at Cppbx (cycle Préparatoire Du Polytechnicum De Bordeaux)
French, English, Spanish