If we want to understand microbial diversity and find new ways to control infectious disease, it is important that we consider the variety of ecological factors that microorganisms normally encounter and how this influences their evolution. Our understanding of interactions between abiotic (e.g. antibiotics) and biotic (e.g. parasites) conditions, and how they affect microbial adaptation remains limited. Specifically, the role of viruses ...

In order to better understand the history of the universe and dark matter distributions, cosmologists run n-body simulations. Such simulations involve large amounts of points which can all effect each other. The computations are very expensive and evaluated at discrete points in time. In this project we come up with a novel model architecture within the generative adversarial network framework. The model is able to generate data for any ...

The energy sector is undergoing a rapid transformation that gives rise to a variety of new optimization problems to solve. The goal of this thesis is to develop advanced analytical solutions for sustainable energy operations and investment problems that are subject to uncertainty. We consider case studies related to both industrial applications and consumer models, and cover problems related to energy efficiency, renewable energy, and ...