Rafael Bischof

Data Scientist

Alumni

(Alumni)

Rafael graduated from ETH Zürich in 2021 with a Master's Degree in Computer Science and has since been working as research assistant at the Department for Structural Engineering at ETH and the University Hospital Balgrist. His major research interests so far have revolved around endowing Deep Learning models with inductive biases and prior knowledge in order to improve their performance in small- or low-data domains. A keyword in this area are Physics-Informed Neural Networks, which can be used for finding solutions to Partial Differential Equations.

Projects

Publications

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Maissen, A.; Apolinarska, A. A.; Kuhn, S. V.; Salamanca, L.; Kraus, M. A.; Tatsis, K.; Casas, G.; Bischof, R.; Rust, R.; Kaufmann, W.; et al. "AIXD: AI-eXtended Design Toolbox for data-driven and inverse design" Computer-Aided Design 189 103945 2025 View publication 

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Dedoncker, S.; Donner, C.; Bischof, R.; Taenzer, L.; Van Damme, B. "Generative inverse design of multimodal resonant structures for locally resonant metamaterials" Engineering with Computers 2025 View publication 



Balmer, V.; Kuhn, S. V.; Bischof, R.; Salamanca, L.; Kaufmann, W.; Perez-Cruz, F.; Kraus, M. A. "Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges" Automation in Construction 163 105411 2024 View publication 



Kraus, M. A.; Kuhn, S. V.; Hodel, A.; Bischof, R.; Maissen, A.; Salamanca Mino, L.; Pérez-Cruz, F. "Parametrische Modellierung und generatives tiefes Lernen für den Brückenentwurf" Bautechnik 101 3 174-180 2024 View publication 

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