Candidate ID: DC8
Topic: Probabilistic digital twin resilience management at the community level
Beneficiary: TUM
I am a PhD researcher at the Technical University of Munich (TUM), working on probabilistic modelling with spatial data. My research focuses on understanding how uncertainties in data influence decisions and on developing probabilistic methods that make these decisions more transparent and reliable.
Within the FOURIER project, I am working on Probabilistic Modelling for Community-Level Risk Management, a project aimed at developing models that show how uncertainties in input data affect final outcomes. I identify key factors driving model behaviour, evaluate whether additional information truly improves decisions, and apply efficient methods to capture spatial–temporal dependencies for example, when estimating fire risks or other community hazards.
I applied to FOURIER because I want to use probabilistic modelling to address real-world risk-management challenges and to collaborate with researchers from different backgrounds. The project allows me to contribute to more accurate, transparent, and practical decision-support tools for communities.
Mail: chupei.lin@tum.de
