Dr Chih-Chun Chen

Contact information

Biography

MA Psychology with Philosophy, University of Oxford
PhD, MSc Computer Science, University College London 
Worked at Yahoo Europe, Microsoft Research, Deutsche Bank, e-skills UK, Oxford Playhouse, Old Fire Station Theatre

Research interests

I am particularly interested in the relationship between conceptual models and statistical models, e.g. different biological models and regularities in failure; different cognitive models and patterns of error. I have a research background in Complex Systems Science and have applied very different techniques in the context of interdisciplinary studies, e.g. agent-based modelling, computational statistics, network analysis, computational topic analysis, survey design, and interviews (with real people!). The systems/topics I've worked on and am still interested in are biological (e.g. Neuron migration, Cancer), social (e.g. learners in the same cohort), socio-techno (e.g. Wikipedia, Flickr, GoodReads). Currently though, my main interest is in the relationship between cognitive models and patterns of error.

Publications

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science.

The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology.

In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society.

C2D3 supports collaboration and knowledge transfer in this growing field.

Join us.