cv
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Basics
| Name | Claudio Borile |
| Label | Research Scientist |
| borileclaudio@gmail.com | |
| Phone | +393333873345 |
| Url | https://cborile.github.io/ |
| Summary | AI and quantitative statistical methods for real-world complex challenges |
Work
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2022 - Present Research Scientist
CENTAI Institute, Torino, Italy
Pure and applied research in responsible artificial intelligence and complex systems
- Graph Representation Learning
- Learning ABMs
- XAI and Mechanistic Interpretability
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2021 - 2022 Research Scientist
ISI Foundation, Torino, Italy
Research on coordinated inauthentic behavior for cybersecurity
- Network Analysis, Coordinated Behavior Discovery, Time-series forecasting
- Graph Representation Learning
- XAI
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2017 - 2021 Senior Data Scientist
aizoOn Technology Consulting, Torino, Italy
Machine Learning for applied and industrial research
- Cybersecurity
- Smart Mobility
- Precision Medicine
- Network Science
- Data Science
- Production-ready code development and dashboarding
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2016 - 2017 Research Scientist
ISI & aizoOn Technology Consulting, Torino, Italy
Network science for social networks analysis
- “Progetto Lagrange” scholarship winner for applied research on Big Data.
- Social Networks
- People Analytics
- Social Media Monitoring
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2013 - 2015 Post-doctoral researcher
DISAT, Politecnico di Torino, Italy
Statistical Physics for Neuromorphic Computing
- Prof. Riccardo Zecchina's group
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2012 - 2013 Visiting Researcher
Universidad de Granada, Granada, Spain
Statistical Physics approaches to the dynamics of spatially extended ecosystems and the role of fragmentation and disorder
- “Ing. Aldo Gini” Foundation scholarship winner.
- Prof. Miguel A. Muñoz's group
Education
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2010 - 2013 Padova, Italy
PhD
LIPh Lab - Università degli Studi di Padova
Statistical Physics
- Effects of non-linearities and disorder in systems with multiple absorbing states. Aperspective for modeling the dynamics of complex ecosystems
- Supervisor: Prof. Amos Maritan
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2009 - 2010 Padova, Italy
MSc
Università degli Studi di Padova
Theoretical Physics
- Thesis: Statistical Physics Methods In Genetics: Application To Mycobacterium Tuberculosis Complex Data
- Supervisor: Prof. Silvio Franz
- Erasmus Programme scholarship winner, Université Paris-Sud XI
- Summa Cum Laude
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2007 - 2009 Padova, Italy