Regular biography
Yuansi Chen is a Professor in the Department of Mathematics at ETH Zurich. Their research interests are not explicitly detailed in the provided information. Prof. Chen is affiliated with the Seminar for Statistics and holds the title of Professor. Their contact details and profile page can be accessed through the ETH Zurich Mathematics Department website.
Scholar-generated biography
Yuansi Chen is a researcher in statistics and mathematical sciences, focusing on MCMC methods, statistical machine learning, and high-dimensional geometry. His work explores the efficiency and theoretical guarantees of Markov chain Monte Carlo algorithms, particularly in high-dimensional settings. Chen's research includes the analysis of Metropolis-Hastings algorithms, Hamiltonian Monte Carlo, and their applications in optimization and sampling. He also investigates the interplay between geometry and sampling, contributing to the understanding of mixing times and isoperimetric inequalities. His publications highlight the development of novel sampling techniques and their connections to machine learning and optimization.