Interests
- Monte Carlo methods, e.g., MCMC, SMC, & PDMP
- Diffusion Models, Stochastic Optimization Algorithms
- Bayesian Modelling, especially in Political Science & Biostatistics
My ultimate interest lies in the dynamics of computational algorithms, and their resemblance to natural phenomena.
Specifically, I recently work on emerging sampling algorithms, such as Piecewise Deterministic Monte Carlo, Hamiltonian Monte Carlo, and Denoising Diffusion Models.
Before pursuing my Ph.D., I was trained in mathematics at the University of Tokyo, with an emphasis on Stochastic Processes and Functional Analysis.

Software
I maintain the Julia package PDMPFlux.jl, and also contribute to the R package YUIMA.