From September 2024 I am Associate Professor at TU Delft, part of the NAS group, in Delft, Netherlands.
I like to approach research by addressing application-oriented problems involving domain experts from different disciplines via developing models and algorithms derived from statistical physics, probabilistic models and optimal transport principles.
You can find more information about my research here.
NEWS (10.24).
- We are hiring PhD students!!
- This is part of NExTWORKx, a strategic partnership between the Telecom and ICT service provider KPN and Delft University of Technology.
- Deadline for application is December 1st 2024.
- Focus Issue Journal of Physics: Complexity: Statistical Inference and Machine Learning for Complex Networks.
- Do you have any interesting work addressing any aspect of statistical inference and machine learning for complex network data and models?
- Then please submit your article here.
- Deadline for submissions is May 31st 2025 (flexible).
- We released ProbINet: (Probabilistic Inference on Networks) Python package!
- Python package to analyse network data using probabilistic approaches.
- You can perform community detection, prediction tasks, sampling, anomaly detection, reciprocity, etc...
- This is a beta release currently being tested by users.
- Your feedback is valuable as we work towards finalizing the package!
Codes.
You can find a list of codes that we published open source here.
Experience.
- Jul 2018 - Aug 2024: Independent Research Group Leader at Cyber Valley, Max Planck Institute for Intelligent Systems in Tübingen, Germany.
- Jan 2018 - Jun 2018: Postdoc at the Columbia Data Science Institute, working with David Blei.
- Sep 2015 - Dec 2017: Postdoc at the Santa Fe Institute working with Cris Moore.
Education.
- 2015: PhD in Statistical Physics at Universitè Paris Sud 11 in 2015, advised by Silvio Franz and Satya Majumdar with a Marie Curie ITN fellowship.
- 2012: MSc in Theoretical Physics, Università di Padova
- 2010: BSc in Physics, Università di Padova
Interests.
- Inference on networks
- Routing Optimization
- Probabilistic Modeling
- Statistical physics