My research focuses on probability theory, Stein's method, distributional approximation, stochastic processes, and applications of probabilistic approximation techniques.
My work centers on probability theory, distributional approximation, and Stein's method, with an emphasis on methods that are mathematically rigorous and useful in applications.
I am an Assistant Professor in the Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University.
I received my Ph.D. in Mathematics from Oregon State University in 2021, under the supervision of Professor Yevgeniy Kovchegov.
My research interests lie in probability theory, distributional approximation, and Stein's method. I am particularly interested in developing probabilistic approximation techniques and applying them to both theoretical and practical problems.
I develop approximation techniques for stochastic models, with a particular focus on explicit error bounds and methods inspired by Stein's method.
Development of approximate zero-bias techniques for normal approximation, including extensions to random sums and non-identically distributed summands.
Normal approximation for random sums arising in applied stochastic models, including sampling with outliers, insurance, and generative AI response times.
I am interested in functional versions of Stein's method and their applications to random fields, including Gaussian free fields.
Poisson approximation with applications to stop-loss metrics and other probability models where explicit approximation guarantees are useful.
Selected journal articles, proceedings, and recent preprints.
Recent conference presentations on distributional approximation and Stein's method.
Approximate Zero-Bias Transformation for Random Sums with Its Applications
Proving One-Dimensional Convergence of Trinomial Random Walks Conditioned on End Points via Stein's Method
I am happy to discuss potential research collaborations in probability, Stein's method, distributional approximation, stochastic processes, and related areas.