Research interests

Lasse Engbo Christiansen's research is within time series analysis. This includes stochastic dynamical systems, grey-box modelling, prediction, and optimization. 

His main research interests are within statistical modelling of spread of disease and bacterial growth and evolution. This includes development and selection of antibiotic resistance. The aim is to find a better way to administer known antibiotics such that resistance is reduced. Furthermore, Lasse Engbo Christiansen models financial data and also has an interest in challenges related to Smart Cities.

Background

Lasse Engbo Christiansen is associate professor in statistics and dynamic systems at department for Applied Mathematics and Computer Science. He became M.Sc.Eng. in 2001 with a thesis on nonlinear dynamics of a railway vehicle on a disturbed track. In 2005 he was awarded the PhD degree in applied statistics from DTU. Prior to his current position he was post.doc. in 2005-2006 at University of California, Davis, where this research focused on how foot-and-mouth disease spreads and how to control it.

Teaching

Lasse Engbo Christiansen lectures primarily time series analysis and applied statistics.

Lasse Engbo Christiansen is head of the study board at DTU Compute.