Team
Image Processing and Pattern RecognitionCampus
ParisContact
jules.guillou@epita.fr
Short Bio
I am a PhD student working on ultra-high-throughput holographic imaging and high-performance computation for retinal Doppler holography. I previously contributed to real-time acquisition and reconstruction software, and now focus on designing scalable graph-based processing frameworks and numerical propagation models for medical imaging.
My education and professional path have consistently been driven by a desire to understand how things fundamentally work: How does a programming language work? How does a computer work? And currently, how do light fields and holography work?
I graduated from EPITA in 2025 with an Engineering Degree in Computer Science, specializing in real-time embedded systems.
Research
My main research interests are:
- High-performance computing
- How to ease the development of complex processing pipelines
- Graph-based computation frameworks
- Medical imaging
- Doppler Holography