String Data 2026 marks the next chapter of the international conference series at the forefront of string theory, data science, and machine learning. Hosted for the first time in South Korea in December 2026, the meeting will continue the tradition of bringing together leading researchers across theoretical physics, mathematics, and computer science to explore how modern computational methods and AI-driven approaches can shed light on fundamental questions in high-energy theory and quantum geometry. With a program featuring keynote lectures, invited and contributed talks, panel discussions, and opportunities for collaboration, String Data 2026 aims to further strengthen the interdisciplinary dialogue that has become the hallmark of this series. 


Plenary Speakers

Miranda Cheng (University of Cambridge, UK)
Michael Douglas (Harvard University, USA)
Babak Haghighat (Tsinghua University, China)
Koji Hashimoto (Kyoto University, Japan)
Yang-Hui He (London Institute for Mathematical Sciences, UK)
Vishnu Jejjala (University of the Witwatersrand, South Africa)
Keun-Young Kim (GIST, South Korea)
Sven Krippendorf (University of Cambridge, UK)
Magdalena Larfors (Uppsala University, Sweden)
Andre Lukas (University of Oxford, UK)
Brandon Robinson (University of Amsterdam, Netherlands)
Fabian Ruehle (Northeastern University, USA)
Andreas Schachner (Cornell University, USA)
Gary Shiu (University of Wisconsin-Madison, USA)

more to be confirmed



Parallel Session Speakers

to be confirmed



Main Organizer

Rak-Kyeong Seong

Mathematical Physics and AI Group
Department of Mathematical Sciences, UNIST


Support

Project No. RS-2025-00516583
Non-Perturbative Phenomena in Quantum Field Theory and String Theory via Geometry and Machine Learning