I am an assistant professor in Statistics at Bocconi University, Department of Decision Sciences.

Broadly speaking, my research lies at the intersection of Statistics, Applied Probability and Machine Learning, with a particular focus on Bayesian computation. More specifically I have been working on:

  • Computational Statistics and Machine Learning: Monte Carlo methods, Markov Chain Monte Carlo algorithms, variational inferences, computational complexity of Bayesian methods;
  • Bayesian modeling: Bayesian Nonparametrics, Hierarchical models, Random Partition Models;
  • Probability Theory: Stochastic processes, Markov chains, point processes and random measures;
  • Applied Statistics: clustering, record linkage, spatial statistics, variable selection.

Email: giacomo.zanella at unibocconi.it

Education and Employment

  • (2019 - present) Assistant Professor in Statistics at Bocconi University, Department of Decision Sciences.
  • (2016 - 2019) Post-Doctoral Researcher at Bocconi University, funded by the European Research Council grant "New Directions in Bayesian NonParametrics".
  • (2015 - 2016) EPSRC Doctoral Prize fellow in the Mathematical Sciences at the University of Warwick (UK), Department of Statistics.
  • (2012 - 2015) PhD in Statistics at the University of Warwick. Supervisor: Wilfrid S. Kendall.

Editorial service

  • (2020- present) Associate Editor of Statistical Science (link)

Awards and scholarships

2018 Honorable mention for the Savage award assigned by the International Society for Bayesian Analysis (link).

2016 - 2017 John Copas Award for the best PhD thesis in the Statistics Department of the university of Warwick (link).

2015 - 2016 EPSRC Doctoral Prize fellowship (link).

2012 - 2015 Center for Research in Statistical Methodology (CRiSM) studentship.

2014 January. Honourable mention for poster, MCMSki IV conference.

2007 - 2009 Merit scolarship holder at INdAM (National Institute of High Mathematics). Award assigned through national examination to 40 students across all Italy.