About me

Hello! I’m an Assistant Professor at Politecnico di Milano, affiliated with the RecSys group and the QCLab. If you are a student interested in working with us please refer to the Work With Us page.

Research interests

  • Applied Quantum Computing: design, evaluation and benchmarking of machine learning algorithms on quantum computers and use of machine learning to benefit current generation quantum computing hardware
  • Recommender Systems: design and evaluation of algorithms for recommender systems

Accepted at NeurIPS! Our paper “Off-Policy Evaluation with Deficient Support Using Side Information” has been accepted at NeurIPS!

Short article selection

 

Awards

  • Best Long Paper Award at RecSys 2019 for “Are we really making much progress? A worrying analysis of recent neural recommendation approaches”
  • “Prof. Florian Daniel” Award, Best doctoral thesis in Computer Science Engineering, DEIB, Politecnico di Milano
  • Best Academic Team at the ShareChat Challenge, 17th ACM Conference on Recommender Systems (RecSys 2023)
  • Best Academic Team at the Twitter Challenge, 15th ACM Conference on Recommender Systems (RecSys 2021)
  • Spotify Challenge, 2nd place Creative Track, 4th place Main Track, 12th ACM Conference on Recommender Systems (RecSys 2018), team Creamy Fireflies
  • Best Reviewer, 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)
  • Nomination for Best reviewer at RecSys 2020 and RecSys 2019

 

Program Committee

  • Conferences: SIGIR, CIKM, KDD, WWW, RecSys
  • Journals: ACM TOIS, ACM TORS, ACM TSC, Future Generation Computer Systems, Neurocomputing, IEEE TETC, IEEE Transactions on Multimedia, Computers and Security, Information Processing & Management