Published multiple papers, including submissions or major revisions at JRSSB, JASA, Annals of Statistics, and conference papers at ICML, AISTATS, etc.
Research Experience
Worked as a Neyman Visiting Assistant Professor at UC Berkeley's Statistics Department.
Education
PhD in Mathematics from the University of Michigan, advised by Roman Vershynin and Anna Gilbert; Neyman Visiting Assistant Professor at UC Berkeley's Statistics Department, advised by Bin Yu.
Background
Currently an assistant professor at the Department of Statistics and Data Science at the National University of Singapore. Research interests include statistical machine learning, focusing on the theory, methodology, and applications of tree-based models and randomized ensembles.