Ms Marina Riabiz

Contact information

Research interests

I am a fourth year PhD student at the University of Cambridge, Department of Engineering, Signal Processing and Communications group. My research interest lies in the Bayesian approach to statistical inference. So far I have worked on alpha-stable distributions, a class of heavy-tailed distributions that describe phenomena with extreme values. The main challenge is the lack of closed-form mathematical expressions. I have first proposed a method to estimate the latter, based on algorithms for intractable likelihood problems. I am currently working on modeling time series driven by such alpha-stable noise.


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.

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