Pier Giuseppe Sessa

Research Scientist @ Google DeepMind
  piergs [at] google.com

I recently joined Google DeepMind as a research scientist
-- updates to follow!

Prior, I was a PostDoc at ETH Zürich, working with Andreas Krause and Nicolò Cesa-Bianchi. My research has focused on sequential decision-making in different settings and application areas, with a particular focus on active learning and sample-efficiency.
I am also very interested in the interplay between game theory and machine learning.
In September 2022, I obtained a Ph.D. from ETH Zürich advised by Maryam Kamgarpour and Andreas Krause, where I studied learning and efficiency in multi-agent systems [pdf].

I have interned with Google Brain in 2022 and Google Research in 2021 working with large language models, the Institute for Transport Planning and Systems of ETH Zürich in 2018, and the United Technologies Research Center (Cork, Ireland) in 2016. I obtained a MSc. in Robotics, Systems and Control from ETH Zürich (2017) and a BSc. in Automation Engineering from Politecnico di Milano (2015), both with honors. At ETH, I have been Teaching Assistant of the Master's level courses Control Systems II (Head TA) and System Identification during 2018-2021.

(for an updated list, see Google scholar)