Katiana Kontolati poses for a headshot photograph in front of trees.

Civil and Systems Engineering PhD candidate Katiana Kontolati was recently selected to receive a $5,000 Fellowship Grant from the Gerondelis Foundation for her research on uncertainty quantification and scientific machine learning. Katiana has also been selected to receive a SIAM travel award to present her research at the 2023 SIAM Conference on Computational Science and Engineering (SIAM-CSE). Katiana is a fourth-year PhD student in the Shields Uncertainty Research Group (SURG) advised by Professor Michael D. Shields.

The Gerondelis Fellowship will support Kontolati in continuing her efforts in conducting methodological research for improving the performance of predictive models for complex physics-based and engineering applications described by high-dimensional partial differential equations under uncertainty. The SIAM-CSE travel award will support Katiana to present her work at the upcoming conference in Amsterdam, The Netherlands.

During her time as a PhD candidate at Johns Hopkins, Kontolati has authored and co-authored six papers in top journals including Nature Machine Intelligence and has presented her work at six international conferences. She has also received the Joseph Meyerhoff Fellowship and the Teaching Assistant Award from CaSE and the prestigious Applied Machine Learning Research Fellowship from Los Alamos National Laboratory.