Interests
- Sampling methods, e.g., MCMC, SMC, Diffusion models, etc.
- Optimization methods, e.g. SGD, Evolution strategies, etc.
- Bayesian modelling, especially in political science & biostatistics
My ultimate interest lies in the dynamics of computational algorithms, such as Monte Carlo and optimization 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.