Nina Deliu
Scholar

Nina Deliu

Google Scholar ID: QiORTUUAAAAJ
Sapienza University & Cambridge University
Reinforcement learningDesign of experimentsUncertainty quantification
Citations & Impact
All-time
Citations
455
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Involved in projects like the Adaptive Experimentation Accelerator, which won the 2023 XPRIZE $1M Digital Learning Challenge. Published several papers, including 'Dynamic testing of volatility models’ calibration using E-values' and 'On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials'.
Research Experience
  • Collaborated with institutions such as the University of Cambridge, National University of Singapore, University of Toronto, ISTAT, and NADO Italia. Also worked with cancer research foundations and intergovernmental associations like FAO.
Education
  • PhD in Statistical Sciences from Sapienza University of Rome in 2021; MSc in Statistics and Decisions from Sapienza University of Rome in 2017; MSc in Mathématiques, Informatique, Décision and Organisation from Université Paris Dauphine in 2016.
Background
  • Tenure-track Assistant Professor in Statistics at the MEMOTEF Dept at Sapienza University of Rome, with side gigs as Visiting Faculty Researcher at Google and MRC - Biostatistics Unit, University of Cambridge. Her research interests include uncertainty quantification, Bayesian-frequentist interplay, reinforcement learning, multi-armed bandits, and conformal prediction. She is also an editorial board member of YoungStatS and an associate editor of Trials.
Miscellany
  • Enjoys traveling, Italian coffee, golfing, and yoga.