I am a Postdoctoral Research Associate at UNIST and a Visiting Researcher at the University of Edinburgh (UK). 

My research lies at the interface of Machine Learning, Probability, and Optimization. I develop theoretically grounded stochastic optimization and sampling algorithms for nonconvex and high-dimensional problems, with a particular focus on Langevin dynamics, zeroth-order optimization, and generative modeling. My work has applications to deep learning, large language model fine-tuning, and scientific and financial machine learning.

Previously, I was a Postdoctoral Research Associate in the School of Mathematics at the University of Edinburgh (UK). During my time in Edinburgh, I secured a £500,000 UK–South Korea Collaborative R&D grant, funded by Innovate UK, to support my research in collaboration with Neurolabs. The project has also raised an additional £415,000 in South Korea, funded by the Korea Institute for Advancement of Technology.

From November 2024 to April 2025, I worked as a Senior Researcher at Neurolabs, a UK-based Computer Vision startup. In April 2025, Neurolabs secured a $7.8 million Series A funding round.

I completed my PhD in Mathematics at the University of Bath (UK), under the supervision of Prof. Hendrik Weber, as part of the Probability Laboratory (Prob-L@B) and the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics. My doctoral research was in Stochastic Analysis, with particular emphasis on Stochastic Partial Differential Equations.