Antigoni Georgiadou

Bio

Antigoni Georgiadou is an Applied Mathematician at the Science Engagement Section, Algorithms & Performance Analysis (APA) Group. She earned her Ph.D. in Mathematics from Florida State University—researching optimization in stellar evolution—and her bachelor’s in Applied Mathematics and Physical Sciences from the National Technical University of Athens, Greece (2013). Her career includes work at the European Space Agency in Darmstadt, Germany, where she applied AI for satellite energy optimization, and a position at Fermilab’s Theoretical Astrophysics Group developing a statistical framework with Gaussian Processes and machine learning for cosmological simulations. Before joining APA, she was a postdoctoral research associate at OLCF’s Advanced Computing for Nuclear, Particles, & Astrophysics Group.

Dr. Georgiadou is a 2025 Gordon Bell Prize finalist for “Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability.” At the APA Group, she collaborates across domains to optimize the scientific impact of applications on OLCF supercomputers, leads the Uncertainty Quantification Working Group, and has supported INCITE, ECP, and CAAR projects for current and emerging GPU-accelerated systems. Since 2023, she has chaired the SC workshop “Enabling Predictive Science with Optimization and Uncertainty Quantification in HPC” (SC'23, SC'24), served as an INCITS committee member for Fortran/Programming Languages (PL22) beginning July 2023, and sits on the Executive Committee of the Accelerated Data Analytics and Computing Institute (ADAC), leading its Software Stack Task Force. She is also a member of the Flash‐X astrophysics collaboration and part of the SEAVEAtk team, supporting scalable verification, validation, and uncertainty quantification in scientific computing workflows.

Awards

• 2025 Gordon Bell Prize finalist for the “Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability”, Frontiere N., et al.
• Best Poster Award at the 2025 OLCF User Meeting for the poster "Uncertainty Quantification for Joule Heating Processes in Graphite-based Reactors", Fagbemi Samuel, et al.
• 2024 Better Scientific Software (BSSw) Fellowship Program Honorable Mention for the project "Energy efficient High Performance Computing"
• 2017-2019 URA Visiting Scholarship at Fermi National Accelerator Laboratory (FNAL) for my collaboration with the Theoretical Astrophysics Group
• DAAD Research Grant- German Academic Exchange Service for my work at the European Space Agency in Darmstadt, Germany, with the Integral and XMM-Newton satellites.

Publications