• Asmussens Allé, 303B, 052

    2800 Kgs. Lyngby



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Personal profile


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.


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.


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

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

Expertise related to UN Sustainable Devlopment Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

Education/Academic qualification

MSc. Eng., DTU


External positions

Associate professor, Technical University of Denmark

2008 → …

Post doc., Technical University of Denmark


Post doc., University of California, Davis


Post doc., Technical University of Denmark


PhD-student, Technical University of Denmark



  • User defined:
  • Integrated energy systems
  • Time series analysis
  • bacterial evolution
  • Antimicrobial resistance
  • Disease modelling


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