My research focuses on modeling complex systems, with a strong interest in statistical inference, generative models, and optimization methods. I like working at the interface between physics and computer science by developing mathematical models inspired by statistical physics and implementing them in robust, scalable algorithms.
I truly enjoy technical work, but I believe that empirical observations should always drive scientific inquiry. The applications that interest me most lie within machine learning for science, where inferential predictions and mechanistic models can mutually inform each other.
Through my research and professional efforts, I aim to contribute to creating a fairer and more just world. One way to achieve this goal that matters to me is integrating science into policymaking to develop sustainable and equitable societies and cities where cohesive social ties prevail. As a scientist, I am also responsible for emphasizing that climate change is human-made and dangerous and taking action against it.
Some technical keywords, in no particular order: Statistical Physics, Complex Systems, Machine Learning, Statistical Inference, Generative Models, Optimal Transport, Belief Propagation, Knowledge Graphs, XAI.
Jul, 2023: Two talks at Netsci 2023: Infrastructure adaptation and emergence of loops in network routing with time-dependent loads and Bilevel optimization for flow control in optimal transport networks.
Apr 19, 2021 - July 31, 2021: I was a teaching assistant for the course Advanced Probabilistic Machine Learning and Applications (2021), at University of Tübingen.
In reverse chronological order, asterisks denote equal contribution.
The last publication I contributed to is:
Cohesive urban bicycle infrastructure design through optimal transport routing in multilayer networks
Alessandro Lonardi, Michael Szell, Caterina De Bacco
Under review
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Designing Networks with Adaptation Rules and Optimal Transport
Alessandro Lonardi
University of Tübingen (2024)
Message-Passing on Hypergraphs: Detectability, Phase Transitions, and Higher-Order Information
Nicolò Ruggeri*, Alessandro Lonardi*, Caterina De Bacco
Journal of Statistical Mechanics: Theory and Experiment (4), 043403 (2024)
Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks
Alessandro Lonardi, Caterina De Bacco
Physical Review Letters 131, 267401 (2023)
Immiscible Color Flows in Optimal Transport Networks for Image Classification
Alessandro Lonardi*, Diego Baptista*, Caterina De Bacco
Frontiers in Physics 11:1089114 (2023)
Infrastructure adaptation and emergence of loops in network routing with time-dependent loads
Alessandro Lonardi, Enrico Facca, Mario Putti, Caterina De Bacco
Physical Review E 107, 024302 (2023)
Multicommodity routing optimization for engineering networks
Alessandro Lonardi, Mario Putti, Caterina De Bacco
Scientific Reports 12, 7474 (2022)
Optimal Transport in Multilayer Networks for Traffic Flow Optimization
Abdullahi Adinoyi Ibrahim, Alessandro Lonardi, Caterina De Bacco
Algorithms, 14(7), 189 (2021)
Designing optimal networks for multicommodity transport problem
Alessandro Lonardi, Enrico Facca, Mario Putti, Caterina De Bacco
Physical Review Research 3, 043010 (2021)
Talks
In reverse chronological order.
The last talk I gave is:
Bilevel optimization for flow control in optimal transport network
Research Seminar on Mathematical Optimization, Saarland University, Germany - online (2024)
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Bilevel optimization for flow control in optimal transport network
Netsci 2023, Vienna, Austria (2023)
Infrastructure adaptation and emergence of loops in network routing with time-dependent loads
Netsci 2023 Satellite, Networks & cities, Vienna, Austria (2023)
Optimal transport in networks for design and flux optimization
NetPLACE Seminars, online (2023)
Code
Software I contributed to, supporting all the publications I having been involved in.
hypergraph-message-passing
MultiOT
BROT
MODI
N-STARK
McOpt
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Last updated in September 2024.