Dan Ward

I graduated in the summer of 2020 from the University of Bristol with a First Class Honours in Biology (MSci). I am interested in simulation-based inference methods, and in particular how these can be used to calibrate agent-based models, which generally have intractable likelihoods. I am currently doing my first year mini-project, in which I am researching methods to speed up parameter estimation with synthetic likelihood, using estimated gradients of the likelihood (or posterior in a Bayesian setting). My other interests include machine learning, demographic modelling and crop genetics.

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