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Tamas Szekely

Personal photo - Tamas Szekely

Tamas Szekely

Doctoral Student

Leaving date: 25th October 2014

Interests

My work is largely on stochastic simulation methodology. I have focussed on developing discrete stochastic methods inspired by successful techniques from deterministic regime.

A central theme in my work has been Richardson extrapolation, a technique that improves the order of accuracy of a numerical method. Extrapolation can also be applied in the discrete stochastic regime with good success. Using extrapolation, it is possible to construct higher-order methods that can be very accurate (up to the Monte Carlo error level).

I am now applying these higher-order methods to biological problems.

Selected Publications

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Supervisors