Jules Guillou

PhD Student

Team

Image Processing and Pattern Recognition

Campus

Paris

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