T
+34 946 567 842
F
+34 946 567 842
E
csouto@bcamath.org
Information of interest
- Orcid: 0000-0002-0271-2576
Other links
caesoma's sci phi pageI am a natural scientist with a diverse background ranging from Inorganic and Quantum Chemistry to Host-Microbe interactions and Systems Genomics, always with a strong mathematical/statistical component -- especially dynamic nonlinear (e.g. ODE and discrete-time stochastic) models and Bayesian inference.
I believe understanding any system requires a useful description of its mechanisms; therefore, I am interested in using nonparametric statistical approaches on experimental (and if not available, observational) data to extract relevant patterns and construct mathematical models that realistically describe natural processes.
PDE-HMC Interface
Bayesian inference combined with Advanced Hamiltonian samplers for parameterization of PDE models using a Finite-Volume solution scheme
Authors: Caetano Souto Maior Mendes
License: AGPL V3