Nikolas Borrel-Jensen
Simulation Intelligence Engineer
Pasteur Labs
Nikolas Borrel-Jensen is a Simulation Intelligence Engineer at Pasteur Labs, where he develops approaches combining AI and simulation to create in-silico environments for human–machine collaboration in areas such as industrial R&D and energy security.
He received his PhD in 2023 from DTU’s Acoustic Technology Group, working on efficient numerical methods for wave propagation using domain decompositions and scientific machine learning (e.g. PINNs, DeepONet). His research focused on predicting acoustics with realistic boundary conditions and parameterized source positions, with applications in AR/VR. During his PhD he visited the CRUNCH group led by George Karniadakis at Brown University, resulting in a publication on applying machine learning to predict full-field wave propagation in complex 3D domains, and completed an internship at Meta Reality Lab in Seattle.
Before his doctoral studies, he implemented one of the first GPU-based FDTD methods in acoustics (2012) and contributed to computer-assisted music composition (2009). He has also worked as a software engineer on 3D scanning technologies and in blockchain development.