Mustafa Hajij
Mustafa Hajij is a researcher and entrepreneur whose work focuses on topological deep learning, scientific machine learning, and AI for structured data. He is known for contributions to the foundations of topological deep learning, including work on neural architectures for higher-order structures such as cell complexes, as well as for helping advance the broader vision of topology-aware AI.
Project
Our project develops new foundations and methods at the intersection of topological deep learning and physics-informed machine learning. The goal is to design learning systems that integrate higher-order topological structure with physical priors, enabling robust modeling of complex scientific systems whose behavior depends on multiscale geometry, nontrivial interactions, and governing equations. By combining topology-aware representations with physics-informed learning, we aim to build models that go beyond standard neural architectures in both expressive power and scientific fidelity.
