- J.E. Castrillon-Candas, M.G. Genton and R. Yokota. Large Scale Kriging: A High Performance Multi-Level Computational
Mathematics Approach. Argonne National Lab.
- J. E. Castrillón-Candás, 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)
-  J. E. Castrillón-Candás, M.G Genton, Xiaoyu Wang, R. Yokota. Large Scale Kriging: A High Performance Multi-Level Computational Mathematics Approach. Invited talk. Department of Statistics, Harvard University, December 2019.
- J. E. Castrillón-Candás, M.G Genton, R. Yokota. Large Scale Kriging: A High Performance Multi-Level Computational Mathematics Approach. Invited talk. Department of Statistics, UCONN, Storrs, Mansfield, Connecticut. Hartford, CT, November 2019.
- J. E. Castrillón-Candás, M.G Genton, R. Yokota. Multi-level spaces with applications to large scale spatial statistics. Invited talk. Department of mathematics, Tufts University, Medford, MA. November 2019.
- J. E. Castrillón-Candás, 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. Castrillón-Candás, M.G Genton, R. Yokota. Large Scale Kriging: A High Performance Multi-Level Computational Mathematics Approach. Invited talk. New England Statistical Society. Hartford, CT, May 2019.
- J. E. Castrillón-Candás. NSF review panelist. Washington DC, April 2019.
- J. E. Castrillón-Candás. Analytic regularity and collocation approximation for PDEs with random domain deformations. Invited Talk. Fall 2016. Tufts, Department of Mathematics. Medford MA.
- J. E. Castrillón-Candás, Multi-level restricted maximum likelihood covariance estimation and kriging for large non-gridded spatial datasets. Invited Talk, Aerospace Computational Design Laboratory, Oct 31 2014. MIT.
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