 J.E. CastrillonCandas, M.G. Genton and R. Yokota. Large Scale Kriging: A High Performance MultiLevel Computational
Mathematics Approach. Argonne National Lab.
 J. E. CastrillÃ³nCandÃ¡s, Mark Kon. Multilevel Radial Basis Function Interpolation for Stochastic Collocation
in Random Power Flow Networks. Invited talk. October 2020. Algorithms for modern power systems (AMPS)
 Â J. E. CastrillÃ³nCandÃ¡s, M.G Genton, Xiaoyu Wang, R. Yokota. Large Scale Kriging: A High Performance MultiLevel Computational Mathematics Approach. Invited talk. Department of Statistics, Harvard University, December 2019.
 J. E. CastrillÃ³nCandÃ¡s, M.G Genton, R. Yokota. Large Scale Kriging: A High Performance MultiLevel Computational Mathematics Approach. Invited talk. Department of Statistics, UCONN, Storrs, Mansfield, Connecticut. Hartford, CT, November 2019.
 J. E. CastrillÃ³nCandÃ¡s, M.G Genton, R. Yokota. Multilevel spaces with applications to large scale spatial statistics. Invited talk. Department of mathematics, Tufts University, Medford, MA. November 2019.
 J. E. CastrillÃ³nCandÃ¡s, Mark Kon. Analytic regularity and stochastic collocation of high dimensional Newton iterates. Invited talk. October 2019. Algorithms for modern power systems (AMPS), American University, Washington DC.
 J. E. CastrillÃ³nCandÃ¡s, M.G Genton, R. Yokota. Large Scale Kriging: A High Performance MultiLevel Computational Mathematics Approach. Invited talk. New England Statistical Society. Hartford, CT, May 2019.
 J. E. CastrillÃ³nCandÃ¡s. NSF review panelist. Washington DC, April 2019.
 J. E. CastrillÃ³nCandÃ¡s. Analytic regularity and collocation approximation for PDEs with random domain deformations. Invited Talk. Fall 2016. Tufts, Department of Mathematics. Medford MA.
 J. E. CastrillÃ³nCandÃ¡s, Multilevel restricted maximum likelihood covariance estimation and kriging for large nongridded spatial datasets. Invited Talk, Aerospace Computational Design Laboratory, Oct 31 2014. MIT.
