Scholar
Lorenzo Testa
Google Scholar ID: gDmLTJQAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
96
H-index
4
i10-index
2
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published paper: Introduction to FAStEN algorithm (in JCGS); Released several preprints on topics such as doubly-robust estimation, handling missing data, etc.
Research Experience
- Summer research scientist intern at Amazon; Helping organize the L’EMbeDS Data Science Seminar Series (DS3); Presented research at various academic conferences.
Education
- PhD: Statistics at Carnegie Mellon University (Advisors: Kathryn Roeder, Jing Lei); Honors student at L’EMbeDS Department, Sant’Anna School of Advanced Studies (Advisors: Francesca Chiaromonte, Andrea Mina)
Background
- Research interests: Statistics; Professional field: Data science methodology and its applications; Bio: PhD student in Statistics at Carnegie Mellon University, from Torre de’ Roveri, Italy.
Miscellany
- Personal interests not mentioned
Co-authors