Talks
2023
- Defense and Aerospace Test and Analysis Workshop 2023. A Bayesian Optimal Experimental Design for High-Dimensional Physics-based Models. (Invited) Video
- SIAM Computational Science and Engineering 23. Challenges in Bayesian Optimal Experimental Design for High-dimensional Models. (Invited)
2022
- Advanced Light Source, Lawrence Berkeley National Laboratory. Learning Optimal Experimental Designs for High-dimensional Combustion Experiments. (Invited)
- Int. Conf. on Numerical Combustion 18. Where to measure next? Optimal experimental designs for photoionization mass spectrometry experiments. (Invited)
- SIAM UQ 22. Exploring Bayesian optimal experimental designs for high-dimensional combustion systems. (Invited)
2021
- SIAM Computational Science and Engineering 21. Bayesian optimal experimental design for learning chemical rate constant measurements from mass spectrometry. (Invited)
2018
- Lawrence Livermore National Laboratory. Validation of a Reduced Char Oxidation Model. (Invited)
- SIAM UQ 18. Developing a large scale heterogeneous database for collaborative model validation. (Invited)
2017
- CCMSC Review Meeting. Model Validation and Uncertainty Quantification in Bound-to-Bound Data Collaboration. (Contributed)
- SIAM Numerical Combustion 17. Providing structure to experimental data: building a database for collaborative model validation. (Invited)
