Welcome to my webpage!
I am an Associate Professor in Economics at
the University of Southampton (U.K.).
I do research mostly
in the area of Microeconomic Theory and, more recently, also
in Complexity Theory, Network Theory, Social Network Data
and their use in Public Health.
I am the Head of PGT Programmes and I am in charge of the MSc in Economics, the MSc in Finance and Economics, the MSc in Finance and Econometrics and the MRes in Economics.
This project aims at repositioning
questions related to environment, behavior and public
health to the domain of social network platforms, such
as Twitter, by emphasizing the social, rather than just
clinical, dimension of life-style related
data on social media provides high-resolution records
of people' feelings, thoughts and behaviors to
understand complex mental disorders. Prior studies
either focus on content analysis without considering
relational interactions between individuals, or ignore
the multiplex and dynamic nature of social
interactions. Here, we explore the multiplexity and
the dynamics of interactions in online health
communities through a large set of Twitter
conversations between individuals who self-identified
as eating disordered. By modeling interpersonal
communication on different types of content through a
multilayer network, we show that (i) different types
of interactions have distinct network structures,
e.g., interactions on private content tend to take
place within small groups, and (ii) users play a
different role in different types of interactions,
e.g., hubs in exchanging pro-recovery content are less
likely to be hubs in exchanging anti-recovery content.
By measuring temporal characteristics of multilayer
networks built based on users' conversations in
different time periods, we further find that (i) the
diversity of users' interests in different types of
interactions decreases over time, and (ii)
anti-recovery communities have a smaller number of
hardcore members than other communities. Our findings
shed light on the organization and evolution of an
online health community.
This project looks at various aspects
of public opinion formation, voting behaviour and
campaign spending in a way that incorporates recent
behavioural findings into otherwise standard models.
This projects studies different learning models, where individuals learn from their history (through reinforcement) or by observing the action taken by their peers (through social learning on a network).
This project deploys ABM to understand endogenous merging decisions in markets and the origins of money as a medium of exchange.
The benefits of money as a medium of exchange are
but the historical origin of money is less clear. An
economic model of monetary search is reproduced as an
simulation and an evolutionary algorithm is used to
model social learning. This approach captures the way
different equilibria can arise, including solutions in
or two goods come to be used as money. In the case
monetary goods have identical properties, multiple
can be reached with a dependence on the starting
agents. In our analysis we also consider the
dynamics that allow for a small chance of mutations in
strategies. In some cases our findings show
by which use of particular monetary goods can
All teaching material is available
Here is a 2-pages version of my cv.