Julija Zavadlav

About

Julija Zavadlav is an Assistant Professor at the Technical University Munich, Germany. Her research focuses on machine learning applications in molecular simulations, with recent articles addressing topics such as machine learning potentials, solvation free energies, and active learning in graph neural networks. Dr. Zavadlav’s work aims to enhance the accuracy and scalability of computational models in chemistry.