Erik Sverdrup
Scholar

Erik Sverdrup

Google Scholar ID: LW1Kw4EAAAAJ
Department of Econometrics & Business Statistics, Monash University
computational statisticscausal inferencedata science
Citations & Impact
All-time
Citations
816
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple preprints and journal articles including in the Journal of Computational and Graphical Statistics, International Journal of Methods in Psychiatric Research, Annals of Applied Statistics, JAMA Psychiatry, etc.; Developed several software tools such as Generalized Random Forests, Multi-Armed Qini, etc.
Research Experience
  • Senior Lecturer (Assistant Professor) in the Department of Econometrics & Business Statistics at Monash University; Former postdoc at Stanford GSB.
Education
  • PhD from Stockholm School of Economics; Postdoc at Stanford GSB.
Background
  • Senior Lecturer (Assistant Professor) in the Department of Econometrics & Business Statistics at Monash University. Works on data science tools for causal inference that leverage advances in machine learning, statistics, and computation; as well as interdisciplinary applications.
Co-authors
0 total
Co-authors: 0 (list not available)