Welcome!
I am Francesco d’Amore, a postdoctoral researcher at Bocconi University (Italy), working in professor Luca Trevisan’s team.
Previously, I was working in professor Jukka Suomela’s team at Aalto University (Finland).
I earned my Ph.D. at Université Côte D’Azur (France) in the COATI joint project-team between Inria Sophia Antipolis - Méditerranée and the I3S Laboratory. My supervisors were Emanuele Natale and Nicolas Nisse (HDR).
Contact Information
Postdoctoral Researcher
Department of Computing Sciences, office 2-c2-06
Bocconi University, Milan, Italy
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Email: francesco.damore2(at)unibocconi.it
Research Interests
My research focuses on distributed computing, particularly on randomized distributed algorithms.
I am interested in two key computing models:
- LOCAL model: Models with minimal restrictions on computational power and communication bandwidth.
- GOSSIP model: Models with strong restrictions.
Current Projects
- Investigating quantum communication to explore its potential benefits (or limitations) in the LOCAL model.
- Developing and/or analyzing algorithms for the consensus problem and collaborative search in distributed systems.
Additional Research
I also work on theoretical machine learning and statistics. For instance:
- Studying the Random Subset Sum Problem and its applications in understanding the efficiency of pruning (non-trained) neural networks.
- Occasionally contributing to statistical analysis in medicine and biology.
Recent news
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Our paper Distributed Quantum Advantage for Local Problems has been accepted at STOC 2025!
Preprint -
Our paper Online Locality Meets Distributed Quantum Computing has been accepted at STOC 2025!
Preprint
Thank you for visiting my website! Feel free to reach out if you’d like to collaborate or learn more about my work.
