Andi Wang's Personal Page

Email: a dot wang at stats.ox.ac.uk

I am a DPhil student in the Department of Statistics at the University of Oxford. My supervisors are David Steinsaltz (Oxford) and Gareth Roberts (Warwick).

My current research focuses on the theoretical underpinnings of quasistationary Monte Carlo methods. Quasistationary Monte Carlo methods were first proposed in the ScaLE Algorithm, where it was demonstrated that such methods can efficiently perform Bayesian inference in settings with large numbers of data points.

Short Bio

I completed my undergraduate and master's in Mathematics at the University of Cambridge, 2011-2015, graduating with a first class in each year and Distinction in Part III. I specialised in Statistics, Probability and Analysis, and wrote an essay titled Nonparametric Inference Under Shape Constraints. I received Horne Scholarships, the Hockin Prize and Wright Prize, and in Part III I was awarded the Thomas Bond Sprague Prize.

In September 2015 I moved to Oxford to start on the OxWaSP CDT, as part of the 2015-2016 cohort. In my first research project I began to study the theory of quasistationarity and the ScaLE Algorithm, and in my second project I looked at the application of piecewise-deterministic Markov processes to simulation, in particular the Bouncy Particle Sampler. Since September 2016 I have been working with David Steinsaltz and Gareth Roberts on the theoretical properties of quasistationary Monte Carlo methods.

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Some of my work

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