• Bygningstorvet, 115, 112

    2800 Kgs. Lyngby


Accepting PhD Students

Personal profile

Research interests

Surrogate model development and machine learning for water applications; flood risk assessment; efficiency assessment in long-term planning of water infrastructure; urban development modelling; short-term forecasting and operation of water systems

Other information

Recent projects

  • Clacos (2021-2022) (MUDP)
    Scientific machine learning for urban drainage applications
  • Signature project Jammerbugt Municipality (2021-2022) (Danish government)
    Using machine learning and remote sensing to predict flooding
  • Water Smart Cities (2016-2020) (IFD)
    Modelling the urban water system for strategic planning under deep uncertainty and with various stakeholders
  • CRC for Water Sensitive Cities (2014-2016) (Australian Government)
    Flood Modelling in conjunction with urban development modelling, flood damage analysis, experimental design

Research areas

  • Machine learning for water and environmental applications
  • Urban water + flood risk assessment
  • Statistics and Stochastic Time Series Modeling

Expertise related to UN Sustainable Development 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 6 - Clean Water and Sanitation
  • SDG 8 - Decent Work and Economic Growth
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land

Education/Academic qualification

PhD Probabilistic Forecasting for On-line Operation of Urban Drainage Systems, DTU Compute


Diploma Studies Hydrology, Dresden Technical University


External positions

Postdoc, DTU

2014 → …

Project Engineer, Krüger A/S


Hydrologist, Institute for technical and scientific hydrology (itwh)



  • User defined:
  • Flood modelling, Statistics, Time series modelling, Urban development


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Collaborations and top research areas from the last five years

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