Lea Friedli

Lea Friedli is a Postdoctoral Researcher at the Engineering Risk Analysis Group of the Technical University of Munich (TUM) since March 2025, funded by the Swiss National Science Foundation. She previously served as a Postdoctoral Researcher at the University of Bern's Institute of Mathematical Statistics and Actuarial Science in 2024.

• PhD in Environmental Sciences (2019–2023), University of Lausanne
• MSc in Statistics (2016–2019), University of Bern
• BA in German Language and Literature (2013–2016), University of Bern

Her research focuses on Bayesian methods, inverse problems, and rare event probability estimation, with applications in environmental systems and risk analysis. Key methodologies include Gaussian process modeling, sequential design, and pseudo-marginal inference.

Lea's publications demonstrate expertise in uncertainty quantification for geophysical and hydrological systems. Recent work includes energy-based rare event estimation (2023), groundwater inverse problems (2024), and lithological tomography using Bayesian frameworks (2022).

• Teaching: Estimation of rare events (TA, SS25, TUM); Combinatorics and Probability (Lecturer, HS24, University of Bern); Uncertainty quantification in action (Lecturer, HS24, University of Bern)

She is affiliated with the TUM Engineering Risk Analysis Group, contributing to projects involving digital twins, wildfire risk, and probabilistic ground models for offshore wind farms. No scientific awards were mentioned in the provided text.