The practical problems that arise when going from simple models to big models include: Most simulation algorithms do not scale well to high dimensions. Simulation can becomes prohibitively expensive due to the multiscale nature of systems. Failure of traditional engineering methodology such as sensitivity analysis and optimization due to high dimensionality, non-linearities and stochasticity…. … […]

Model exploration using active learning

The exploration of a system described by a non-linear, high-dimensional and stochastic computational model is a fundamental problem in all scientific disciplines relying on modeling and simulation.  In this project we are interested in the scenario where a modeler has no or very limited prior knowledge about what type of qualitative interesting behavior the model […]

Back in Uppsala

After two great years as a postdoc with Linda Petzold at UCSB, I am now back in Uppsala as a senior lecturer at the division of scientific computing, department of information technology. Candidates for PhD projects, master’s thesis projects and postdoc positions are more than welcome to contact me to discuss opportunities to join the […]