Resume
Academic Achievements
- Published several papers such as 'An adaptive sampling algorithm for level-set approximation', 'Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration', 'Multi-output multilevel best linear unbiased estimators via semidefinite programming', etc.
Research Experience
- Ikerbasque Researcher at the Basque Center for Applied Mathematics (BCAM) and Ikerbasque, the Basque Foundation for Science. Research interests include finite element method, multilevel Monte Carlo methods, reduced- and mixed-precision PDE solvers, uncertainty quantification, and biomedical computing.
Background
- Ikerbasque Research Fellow, with research in computational stochastics, uncertainty quantification, and computational and industrial mathematics, focusing on multilevel (quasi-) Monte Carlo methods, PDEs with random coefficients, reduced- and mixed-precision numerical algorithms, and biomedical computing.
Miscellany
- Contributor to FEniCS, libsupermesh, and Pragmatic. Developed Python packages like BLUEST, FEMLMC, and basic multilevel Monte Carlo routines.