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Nina Deliu

Continuous Learner, Piecewise Lecturer

Statistics and Data Science

I am a Tenure-track Assistant Professor (RTT) in Statistics at the MEMOTEF Dept at Sapienza University of Rome, with side gigs as Visiting Faculty Researcher at Google and at MRC - Biostatistics Unit, University of Cambridge, where I was a Postdoc in 2020–2021. (Basically, I like keeping my academic calendar delightfully overbooked).

I work with collaborators all over the world — from University of Cambridge, National University of Singapore, and University of Toronto, to Italian institutions like ISTAT and NADO Italia. In previous lives, I’ve collaborated with cancer research foundations and intergovernmental associations like FAO. Along the way, I’ve picked up a few extra hats: editorial board member of YoungStatS, the blog of Young Statisticians Europe (YSE), and associate editor of Trials.

I get unreasonably excited about things like adaptive experimental designs, reinforcement learning, conformal prediction, and detecting the unexpected. I’m inspired by the messy real-world problems — and by the belief that statistical progress should be not simply good, but also good for something.

When I’m not wrangling numbers and formulas, I’m probably traveling, enjoying Italian coffee, golfing and doing yoga, or gently breaking the news that multi-armed bandits are not a pirate crew.

Education

  • PhD in Statistical Sciences, 2021

    Sapienza University of Rome

  • MSc in Statistics and Decisions, 2017

    Sapienza University of Rome

  • MSc in Mathématiques, Informatique, Décision and Organisation, 2016

    Universitè Paris Dauphine

Interests

  • STATS – uncertainty quantification, Bayesian-frequentist interplay
  • ML – reinforcement learning, multi-armed bandits, conformal prediction
  • APP – biostats, design of experiments, official stats, digital education

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