Significant structures in financial and economic networks
I work on network analysis and data drive modellilng of economic and financial systems.
On the identification of significant structures in financial networks I work with the Dutch central bank (De Nederlandse Bank) and the central bank of Mexico (Banco de México).
With data on ownership, directors, patents and stock informaion we are mapping the interaction between the many relations between companies, to understand the ecosystem of corporate networks. (With Prof. Tomaso Aste at UCL)
I joined IMT in November 2015 as a PhD student in the Economics, Management and Data Science track. I am interested in complexity science and its applications, data science, econophysics, modelling of real world systems and risk analysis. I am part of the NETWORKS
research unit from Prof. Guido Caldarelli.
Collaborations with the Dutch central bank (De Nederlandse Bank) and the Central bank of Mexico (Banco de México) and the Financial computing and analytics group at UCL London.
My main research topic is on the mesoscale structures of financial and economic networks
; core-periphery and bow-tie structure detection
, block structure reconstruction,
and motif analysis.
Analyzing the multilayer Dutch interbank networks and European sector exposure network and corporate networks (ownership, board interlocks, R&D). I also work on inventor dynamics during firm mergers (using patent data) with Luca Verginer, Federica Parisi and Prof. Massimo Riccaboni
I have worked with Suzy Moat
and Tobias Preis
(Behavioural Science Group, Warwick Business School) in the Data Science Lab
on quantifying the intentions of university applicants using Google Analytics
I was a research fellow in the Risk Initiative and Statistical Consulting Unit in the Department of Statistics at the University of Warwick. I joined the Department of Statistics in October 2014, working with Prof. Simon French
and Prof. Robert MacKay
(Centre for Complexity Science
) on a joint project with an industrial partner, to implement regular analyses and reports on maintenance routines for UK utility company National Grid (Electricity Transmission Asset Management Directorate).