Carlos del-Castillo-Negrete

Research Associate
High Performance Computing


Carlos joined the TACC team in 2023 as a Research Associate, bringing a rich academic background and extensive experience in high performance computing, software development, and computational sciences. Prior to joining TACC, he was a Graduate Research Assistant at the Oden Institute for Computational Engineering and Science, University of Texas at Austin. There, he specialized in developing HPC applications for uncertainty quantification and machine learning applied to coastal storm surge modeling. His role at TACC involves leveraging my expertise to enhance research capabilities through HPC technologies and fostering collaborations across disciplines.

Selected Publications

M. Pilosov, C. del-Castillo-Negrete, T. Y. Yen, T. Butler, and C. Dawson, “Parameter estimation with maximal updated densities,” Computer Methods in Applied Mechanics and Engineering, vol. 407, p. 115906, Mar. 2023, doi: 10.1016/j.cma.2023.115906.

B. Pachev, P. Arora, C. del-Castillo-Negrete, E. Valseth, and C. Dawson, “A framework for flexible peak storm surge prediction,” Coastal Engineering, vol. 186, p. 104406, Dec. 2023, doi: 10.1016/j.coastaleng.2023.104406.

Current Projects

  • DesignSafe – Cyberinfrastructure for Natural Hazards Research and Engineering

Areas of Research

  • High Performance Computing
  • Uncertainty Quantification
  • Machine Learning and Artificial Intelligence
  • Climate and Natural Hazards Modeling
  • Scientific Data Visualization