People

Current Team

image Pedram Bakhtiarifard(2022/10–)Research Assistant working on methods for sustainable AI and Resource Efficient ML.Bakhtiarifard et al. 2024;
imageFrederik L. Johansen(2022/08–)PhD fellow working on atomic structure prediction from X-ray Total Scattering and Pair Distribution Function data using Generative ML.Friis-Jensen,Johansen et al. (2024);
Johansen et al. (2024);
Johansen et al. (2025);
image Ulrik Friis-Jensen(2022/08–)PhD fellow working on using GNNs and Generative Models to do structure solution of nanoparticles from Total Scattering and Pair Distribution Function (PDF) data.Friis-Jensen,Johansen et al. (2024);
Johansen et al. (2024);
Johansen et al. (2025);
image Tong Chen(2023/06–)Postdoc working on sustainable Machine LearningChen & Selvan (2024);
Thorsteinsson et al. (2024);
image Jákup O. Svöðstein(2023/06–)Double PhD candidate (jointly with University of Faroe Islands) studying Data-Driven Machine Learning Approaches for Compressible and Incompressible Fluid Dynamics Modelling. 
image Bob Pepin(2024/01–)Postdoc working on sustainable machine learningPepin et al. (2024);
Selvan et al. (2024);
Wenshøj et al. (2025);
image Rasmus Løvstad(2024/03–)Student Research Assistant working on carbon footprint aware task scheduling. 
image Jonathan V. Wenshøj(2024/08–)Student Research Assistant working on quantization of neural networks.Wenshøj et al. (2025);

Former Team Members

image Sebastian Eliassen(2023/10–2024/10)Research Assistant with a focus on Low-precision Deep LearningEliassen & Selvan (2024)
image Dustin Wright(2023/02–2024/01)Postdoc with a focus on sustainable Machine LearningWright et al. (2023);
Wright et al. (2024);
image Julian E. Schön(2023/01–2023/12)Research Assistant with a focus on dataset condensation methods. Julian also worked on his MSc thesis co-supervised by RS on interpreting the latent spaces of generative models.Schön et al. 2023;
Schön et al. 2022