Kasper is a Tenure-Track Assistant Professor at Department of Chemistry and Bioscience, Aalborg University, and the group leader of the computational materials chemistry group.

Kasper received his PhD from Aarhus University in 2020 after which he was a postdoctoral fellow at Imperial College London from 2021 to 2023. 

Kasper's research interests revolve around entropy, disorder and temperature effects in functional materials, and how we can model these with quantum chemistry and machine learning methods.

Outside work Kasper enjoys football, going to the gym and exploring the culinary scene.

Jiban received his PhD from Indian Institute of Technology Bombay in 2020. Then he was a postdoctoral fellow at DTU, Denmark from 2020-2024. There he mainly worked on computational design of photovoltaic semiconductors, point defects and nonradiative carrier recombination.

His current research work involves designing point defects in disordered materials for solid state electrolytes, studying effects of disorder on phase transition and response properties, using first principles calculations and machine learning force fields.

Outside work Jiban likes football, cricket, Bengali fiction, and good food.

Mads-Peter received his PhD from Aarhus University, Denmark in 2021. He then continued at AU as a postdoctoral researcher for four years, where he worked on global optimization of atomistic structures using machine learning approaches including machine learning force fields, reinforcement learning, and graph neural networks.

His current research focuses on developing methods for accelerated predictions of substitutional disorder in crystalline materials, including the use of finetuned foundation models.

Outside work Mads-Peter enjoys cooking and science fiction audiobooks.

Timothée started his PhD in September 2024 and is the first PhD student in the computational materials chemistry group. He received his M.Sc. in Physical Chemistry and Chemical Physics from University of Bordeaux, France, in 2024, which included an external stay at NIMS in Japan.

Timothée works on developing machine learning force fields for solid electrolytes to uncover the fundamentals of superionic conductivity and design novel sold electrolytes.

Outside wok Timothée enjoys video-games, writing, mangas, anime and good food. 

Kaihong started his PhD in September 2025. He received his M.Sc. in chemistry from Emory University, U.S., in 2024, where he worked on the vibrational strong coupling effect on chemical equilibria.

Kaihong’s current work involves developing models to efficiently include entropic effects, particularly configurational entropy, in computational materials design, targeted towards designing novel solid electrolytes.

Outside work, Kaihong likes spending time with his cat and watching independent films. 

Kaja started her PhD in September 2026 on a combined Master's and PhD programme (4+4), having previously completed her BSc in Chemical Engineering and the first year of her Master's degree at Aalborg University.

Kaja works on designing disordered solid electrolytes, combining machine learning force fields and generative models with experimental validation to bridge computational predictions and real-world materials.

Outside work, Kaja enjoys running, going to the gym, attending concerts, and spending time with friends and family.