I’m interested in theoretical computer science, including foundations of machine learning, geometric data analysis, and (approximation) algorithms (for massive data). I am also quite excited by the interdisciplinary possibilities of mathematical modelling, having done projects in natural language processing and geostatistical modeling.

Recent research projects include a rigorous analysis of globally optimal t-distributed stochastic neighbor embeddiings (t-SNE) and a new density-adaptive discretization scheme for altimetry modeling of the Greenland ice sheet. See my research page for more information.