Curriculum Vitae

• Since Mar 2025 | Postdoctoral Researcher at the Engineering Risk Analysis Group (TUM), funded by the Swiss National Science Foundation
• 2024 | Postdoctoral Researcher at the Institute of Mathematical Statistics and Actuarial Science, University of Bern
• 2019 – 2023 | Ph.D. in Environmental Sciences, University of Lausanne
• 2016 – 2019 | M.Sc. in Statistics, University of Bern
• 2013 – 2016 | B.A. in German Language and Literature, University of Bern

Research

• Bayesian methods
• Inverse problems
• Value of Information
• Rare events
• Gaussian process modelling
• Sequential design

Selected Publications

• Friedli, L., Ginsbourger, D., Doucet, A., & Linde, N. (2023). An energy-based model approach to rare event probability estimation. arXiv preprint arXiv:2310.04082 (accepted by SIAM/ASA Journal on Uncertainty Quantification).
• Friedli, L., & Linde, N. (2024). Rare event probability estimation for groundwater inverse problems with a two‐stage sequential Monte Carlo approach. Water Resources Research, 60(2), e2023WR036610.
• Friedli, L., Linde, N., Ginsbourger, D., Visentini, A. F., & Doucet, A. (2023). Inference of geostatistical hyperparameters with the correlated pseudo-marginal method. Advances in Water Resources, 173, 104402.
• Friedli, L., Linde, N., Ginsbourger, D., & Doucet, A. (2022). Lithological tomography with the correlated pseudo-marginal method. Geophysical Journal International, 228(2), 839-856.
• Friedli, L., Ginsbourger, D., & Bhend, J. (2021). Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions. Stochastic Environmental Research and Risk Assessment, 35(2), 215-230.

Teaching

• Estimation of rare events and failure probabilities  (TA, SS25, @TUM)
• Kombinatorik und Wahrscheinlichkeit (Lecturer, HS24, @UniBE)
• Uncertainty quantification in action (Lecturer, HS24, @UniBE)
• Model parameter estimation and uncertainty quantification (TA, FS21+22+23, @UNIL)