My name is David, a second-year Master student in Applied Mathematics at TU Delft. Currently, I am working on my Master thesis on bias-aware sequential data assimilation methods under parameter uncertainty.
I also work part-time as an advisor at FinCrime Dynamics, where have worked on the simulation engine for synthetic data generation, and supported data-driven modeling of financial crime.
- Plazas, D., Ferranti, F., Liu, Q., Lotfi Choobbari, M., & Ottevaere, H. (2024). A Study of High-Frequency Noise for Microplastics Classification Using Raman Spectroscopy and Machine Learning. Applied Spectroscopy. DOI: 10.1177/00037028241233304
- Application of a Bias EnKF for the Global Tide and Surge Model
- Sequential Data Assimilation in the Western Scheld Estuary
- A Comparison of Sparse Direct and Preconditioned Krylov Subspace Solvers in Two and Three Dimensions
- Implementation Supervised Clustering Algorithms, and a QR-based Eigensolver
- Grid Search and a Bayesian Optimizer for Hyperparameter Optimization
- Implementation of FEM in 1D and 2D