Dr. James Nichols

Biography

James Nichols is a lecturer at the Australian National University, with a strong background in Mathematics. He joined ANU in 2020 after completing his PhD in 2014 at UNSW. His academic and research interests lie primarily in numerical simulation, approximation, and statistical learning techniques, particularly in the context of high-dimensional approximation theory and high-dimensional statistics. He has significant experience in developing algorithms for complex mathematical problems, particularly those encountered in quantitative analysis during his previous role at a major investment bank. His doctoral research focused on quasi-Monte Carlo methods for generating sample points in high-dimensional domains, a crucial area of stochastic simulation. Nichols has also explored numerical methods for stochastic processes, examining non-Markovian random walks, especially in biological applications such as simulating small particles in electrostatically trapping environments. He is passionate about advancing the understanding of high-dimensional problems and their tractable approximation algorithms, contributing to both academic research and applied mathematics fields.

Research Interests

Experience