I am doing research at the interface of mathematics and theoretical physics, with a particular emphasis on the mathematical structures that arise in String Theory, Quantum Field Theory and supersymmetric gauge theories. I have also pioneered the introduction of machine learning tools in the study of moduli spaces of supersymmetric gauge theories realized in String Theory.

I also work on applied problems that appear in industry, where I use concepts that appear in geometry, topology and machine learning to solve optimization and automation problems.

Currently, I am a tenure-track Assistant Professor at the Department of Mathematical Sciences at the Ulsan National Institute of Science and Technology (UNIST) in Ulsan, South Korea. I am also affiliated to the Department of Physics at UNIST.

Before joining UNIST, I was a Senior Researcher at the AI Advanced Research Lab at Samsung SDS in Seoul and a Tenure-Track Assistant Professor at the Yau Mathematical Sciences Center at Tsinghua University in Beijing, China.

If you want to know more about my research, please visit:

https://rakkyeongseong.github.io/

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