Yan Shuo Tan
Scholar

Yan Shuo Tan

Google Scholar ID: iZY2OUcAAAAJ
Assistant Professor, National University of Singapore
decision treesensemblesinterpretable machine learningcausality
Citations & Impact
All-time
Citations
591
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • 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.