I completed my PhD at INRIA Rennes (France), working on Markov modeling, neural networks, and quasi-Newton algorithms. I was a postdoc and scientific member at a technical university in Czechia, and later a postdoc at DTU Compute, Denmark. Since August 2025, I have been a postdoc at DTU Construct. My research focuses on recurrent systems, continual learning, spatio-temporal modeling, physics-informed ML, and digital twins. I have extensive experience supervising BSc and MSc students in Czechia and Denmark, and in Spring 2025 I taught the Master’s course of DoE at DTU.

The main motivation for joining this programme is to engage with students from universities beyond DTU, as well as researchers in data science and AI. I aim to build connections with Danish institutions, startups, and companies through interaction with mentors and mentees, and to support PhD students and early-career researchers. These experiences and networking opportunities will also help me develop my own research team. Overall, I aim to foster collaboration between research and industry while expanding my network and strengthening my integration in the Danish data science ecosystem.