Amada Lenzi received her Ph.D. in statistics the Technical University of Denmark in 2017. She was a postdoctoral fellow at King Abdullah School of Science and Technology before coming to Argonne. Her primary focus has been on spatial and spatio-temporal statistics using mainly Bayesian methods for large data sets with application to uncertainty forecasting for wind data. She has also worked on models for aggregated functional data.
- Computational statistics
- Spatiotemporal modeling of wind power predictions
- Models for aggregated functional data