Researching explainable AI, robust vision models, and physics-informed machine learning.
Hi, I’m Patrick, a PhD student in Electrical and Computer Engineering at Northwestern University.
I work in the AI in Multimedia – Image and Video Processing Lab (AIM-IVPL) under the guidance of Aggelos K. Katsaggelos.
My research focuses on making machine learning models more explainable, adaptable, and robust. I aim to bridge the gap between what AI can do and how well we can understand and trust it.
Previously, I completed my master’s in data science at the Eastern Switzerland University of Applied Sciences, where I was supervised by Guido M. Schuster.
With over ten years of experience in algorithm development, machine learning, and software engineering, I aim to connect research with real-world impact.
Explainable AI (XAI) · Robust Computer Vision · Deep Learning
Physics-Informed Neural Networks (PINNs / PINOs) · Signal Processing · Trustworthy AI
Swiss native currently based in the Chicago area during my PhD.
Outside research, I enjoy spending time with friends and family, exploring Chicago’s blues scene, and playing guitar.
When I am not immersed in AI or music, I am usually running, cycling, or practicing martial arts.
Always open to collaboration, new ideas, and meaningful discussions in AI, science, and engineering.
“Any sufficiently advanced technology is indistinguishable from magic.” – Arthur C. Clarke