Philipp Denzel

Dr. Philipp Denzel is a Machine Learning Researcher at the Centre for Artificial Intelligence (CAI) within the School of Engineering at Zurich University of Applied Sciences (ZHAW). His work focuses on advancing AI and machine learning techniques with applications in computational astrophysics and cosmology. Dr. Denzel holds a PhD in Physics from the University of Zurich (2016-2021), an MSc in Computational Science (2014-2016), and a BSc in Physics with an Informatics minor (2010-2014).

His research interests include generative deep learning, trustworthy AI, explainable AI, and computational methods for astrophysical challenges like radiative transfer simulations for the Square Kilometre Array (SKAO). He leads or contributes to projects such as AI-Accelerated Radiative Transfer Simulations for SKAO and certAInty, a certification scheme for AI systems. His work bridges theoretical astrophysics with applied machine learning, addressing both cosmological questions and practical AI system certification.

Dr. Denzel has authored or co-authored numerous peer-reviewed publications, including studies on time-delay lensing for Hubble constant estimation and deep learning approaches in astrophysical data analysis. His contributions span conference papers and journal articles, emphasizing interdisciplinary applications of AI in science and engineering.