- Machine Learning opportunities for EFT analyses, invited talk at the LHC EFT Working Group, CERN (online), October 2023, (slides), (recording)
- Likelihood learning theory in practice, invited talk at the LHC Precision Program, Benasque (Spain), October 2023, (slides)
- Interpreting HEP data in SMEFiT, invited talk at the Reinterpretation Forum, Durham, August 2023, (slides)
- Statistically optimal observables for global SMEFT fits, HEFT, Manchester, June 2023, (slides)
- Unbinned multivariate observables for global SMEFT analyses from machine learning, invited talk at CERN, Geneva, December 2022, (slides)
- Towards an optimal global SMEFT fit with machine learning, Machine Learning at GGI, Florence, September 2022, (slides)
- Unbinned measurements in global SMEFT fits from machine learning, Learning to Discover, Paris-Saclay, May 2022, (slides)
- Charting Electron Energy Loss Spectra with Machine Learning, Physics@Veldhoven 2021, January 2022
- Optimally sensitive observables for global EFT fits, Dutch Physics Society (NNV) annual meeting, November 2021, (slides)
- Optimally sensitive observables for global EFT fits, Higgs 2021, Stony Brook University (online), October 2021, (slides)
