About me
Hi, I’m Florian. I am a skilled computer vision researcher specializing in AI-driven algorithms for computational imaging, 3D vision, and holographic displays. Currently, I’m pursuing my Ph.D. with Prof. Oliver Cossairt at Northwestern University, focusing on computational display.
Throughout my Ph.D., I have been working closely with Meta Reality Labs, collaborating with renowned researchers such as Doug Lanman, Nathan Matsuda, and Grace Kuo to pioneer cutting-edge techniques for next-generation AR/VR displays. I have also had the pleasure of working with Prof. Felix Heide from Princeton University on various projects related to holographic displays.
My academic journey began at Friedrich-Alexander Universität (FAU) Erlangen-Nuremberg, Germany, where I completed my B.Sc. and M.Sc. in Physics, and an M.Sc.Hons in Advanced Optical Technologies. During my B.Sc., I worked on my thesis “Calibration of multi-line triangulation 3D sensors” under Prof. Gerd Häusler and my good friend Prof. Florian Willomitzer, with whom I worked for a few years. For my M.Sc. thesis, I delved into Computed Tomography in Talbot-Lau X-ray Phase-Contrast Imaging, supervised by Prof. Gisela Anton, Dr-Ing Christian Riess, and Prof. Andreas Maier.
In addition to my primary research focus, I have also worked closely with Prof. Aggelos Katsaggelos and Prof. Daniel Kim on AI applications for medical imaging, particularly for Cardiac MRI, as a side-hobby throughout my Ph.D.
I had the opportunity to study abroad through the Erasmus program at Universite de Bordeaux, France, and Universidad de Cantabria, Spain, enriching my learning experience and cultural exposure. Transitioning to professional life, I contributed to a project in robotics for image-guided surgery at Siemens Healthineers. Later, I explored machine learning applications in Ophthalmology at Peking University, China advised by Prof. Qiushi Ren.
Throughout my academic career, I have published extensively in top-tier venues such as SIGGRAPH, ICCV, and ICCP. I have also developed open-source software tools that have been adopted by the research community, demonstrating my commitment to making an impact beyond my immediate work.
As I continue with my Ph.D., I also enjoy teaching. I’ve been a full instructor for several courses at Northwestern, and more details about my teaching experiences can be found on the teaching tab.
My ultimate goal is to continue driving innovation in the fields of computer vision, AI, and AR/VR as a research scientist in industry. With my strong technical background, interdisciplinary expertise, and proven track record of impactful research, I am well-positioned to develop groundbreaking imaging and display technologies that transform industries from healthcare to entertainment.
When I’m not in the lab, you can find me exploring my hobbies, which include playing basketball, squash, and experimenting with computational photography techniques in the real world.
Feel free to browse through my projects, publications, and blog posts to get a deeper sense of my work and interests. If you would like to collaborate or discuss potential opportunities, don’t hesitate to reach out!
Experience
Education
During my dual degree at FAU Erlangen, I focused on Medical Imaging, Classical Machine Learning, Computational Physics, and Image Processing.
Master Thesis: Developed novel Image Reconstruction algorithms using Gradient Descent-based methods (Python and Java) for Beam-Hardening correction in Dark-Field Grating-Based Tomography. I built the framework from scratch in Java and tested the algorithms experimentally on our bench-top prototype.
