automating probabilistic inference and learning

We design probabilistic ML systems that are #provably #reliable in the #wild by combining #complex #reasoning with #efficient #inference and #learning.

current members

Antonio Vergari
PI
Nickil Maveli
PhD Student
co-supervised w/ Shay Cohen
Lorenzo Loconte
PhD Student
Christian Beltran Jimenez
PhD Student
1st supervisor: Kostas Zygalakis, Aretha Teckentrup
Leander Kurscheidt
PhD Student
Lena Zellinger
PhD Student
Adrián Javaloy
Postdoc
Andreas Grivas
Postdoc
co-supervised w/ Edoardo Ponti
Charles Bricout
PhD Student
Dylan Ponsford
PhD Student

alumni

  • Rickey Liang [RA 2023-2024] now PhD student at Saarland University
  • Emile Van Krieken [PostDoc 2023-2025] now PostDoc at the Vrij Universiteit Amsterdam
  • Piyush Borole [PhD 2022-2025] now Data Scientist at University of Edinburgh
  • Filippo Corponi [PhD 2021-2024] now NHS Scotland Consultant

visitors & interns

  • Gabriele Masina [Jun-Aug 25] PhD student at University of Trento, IT
  • Davide Scassola [May-Oct 25] PhD student at University of Trieste, IT
  • Samy Badreddine [May-Aug 25] PhD student at Sony AI and University of Trento, IT
  • Nicolas Lazzari [Feb-Jul 25] PhD student at University of Bologna, IT
  • Giovanni Terremoto [Sep 24-Feb 25] PhD student at University of Calabria, IT
  • Lennert De Smet [Jun-Aug 24] PhD student at KU Leuven, Belgium
  • Stefano Teso [Apr-May 24] Tenure-track assistant prof at the University of Trento, Italy
  • Antonio Mari [Mar-Jun 23] UG student at the University of Bari, Italy (now MSc at EPFL)
  • Andrea Valenti [Feb-Jun 22] PhD student at the University of Pisa, Italy