Some more about me

Some history going backwards:

I was previously a research associate at the Engineering Design Centre (EDC), Department of Engineering, University of Cambridge. As part of the EPSRC-funded IdEAS project, I developed a formal framework for relating system architecture to complexity concepts, and learning materials for researchers and practitioners from different disciplines to learn about complex systems.

Before that I was a postdoctoral researcher based at Centre d’analyse et de mathematique sociales (EHESS/CNRS) for the EU-funded project QLectives, whose goal was to understand how `quality’ (both in terms of content and community structures) arises in socio-techno networks, ranging from peer-to-peer systems (e.g. BitTorrent) to peer production systems (e.g. wikipedia) to social networks (e.g. facebook). My main research with respect to this project was statistical and network analysis of empirical data with respect to formal, computational and socio-cognitive models.

I completed my PhD in Computer Science at University College London (UCL) in September 2009. I was supervised by Christopher D. Clack and Sylvia Nagl. During this time I also worked at Microsoft Research, Deutsche Bank, Yahoo! Europe.

Before my PhD (2004-2005), I did a conversion masters to Computer Science at UCL, for which I received the highest examination results of the year and the Microsoft Research Prize for Best Student Project. The project was on developing an agent-based model of cell interactions in tissue architecture. During this time I also worked part time at e-skills UK, the Sector Skills Council for Business and Information Technology, the organisation I joined straight after my first degree.

My first degree was a BA/MA in Psychology with Philosophy at the University of Oxford.

When I was growing up I wanted to be a musician; music is still my greatest passion, along with other artistic media (visual, verbal, kinetic).

I have seen the world through a complexity lens since I was 3 years' old but at school learnt to also work reductionist cause-effect perspectives.