Emilien Seiler
PhD Student in Computer Vision
Computer Vision Laboratory (CVLab), EPFL
Email copied: emilien.seiler@epfl.ch
I am a PhD student at EPFL in the Computer Vision Laboratory, advised by Prof. Pascal Fua, and supported by an EDIC Fellowship. My research lies in 3D computer vision, with a focus on shape representation, 3D generative models and shape optimization.
Before my PhD, I obtained an M.Sc. in Computational Science and Engineering from EPFL, and wrote my Master's thesis at Harvard University with Prof. Pavlos Protopapas on physics-informed neural networks for stiff differential equations. I have also worked on deep learning for ophthalmology at the Jules-Gonin Eye Hospital and as a data engineer at Liom.
Research interests3D computer visionShape representation3D generative modelsShape optimization
- Students interested in a semester project or master thesis, please consult our lab's project page or contact me directly by email.
Feel free to contact me! Please make it clear you have had a look at these resources and avoid sending a generic email.
News
- Sep 2026Our paper Flow-Corrected Shape Optimization is accepted at NeurIPS 2026! Check out the explainer video.
- Sep 2025Started my PhD at the EPFL Computer Vision Lab with Prof. Pascal Fua, supported by an EDIC Fellowship.
- Jan 2025New paper out: Stiff Transfer Learning for Physics-Informed Neural Networks.
- Oct 2024Our work on OCT biomarkers for CSCR recurrence is published in Scientific Reports.
