School of Mathematics, Statistics and Physics

Staff Profile

Dr Andrew Golightly

Reader in Statistics, Director of Postgraduate Studies

Background

Roles and Responsibilities

Director of Postgraduate Studies (2020--)

Associate Editor, Mathematical Biosciences (2015--)

Memberships

Member of the Royal Statistical Society

Fellow of the Higher Education Academy

Research

Research Interests

Google Scholar

Bayesian Statistics, stochastic kinetic models, stochastic differential equations, sequential Monte Carlo, Markov chain Monte Carlo

Postgraduate Supervision

Current:

Nicola Hewett, Md. Hossian, Tom Lowe, Max Piotrowicz, Matthew Robinson, Tom Ryder, Sam Whitaker

Past:

Ash McLean, Aamir Khan, Yingying Lai, Gavin Whitaker

Research Grants

ATI funded project, Streaming data modelling for realtime monitoring and forecasting, (10/2018 -- 09/2020), CoI

EPSRC IAA funded project, Efficient parameter estimation for quantitative systems pharmacology, (11/2018 -- 06/2019), CoI

Leverhulme grant F/00 125/AD, Mathematical Models for the developed Neolithic, (01/01/10 -- 01/07/13), CoI

Esteem Indicators

Royal Statistical Society Research Prize 2009

Teaching

Undergraduate Teaching

MAS8951 Modern Bayesian Inference

MAS3914 Stochastic Financial Modelling

MAS3326/8326 Discrete Stochastic Modelling

MMathStat projects: Lane Stephenson, Elizabeth Goodall, Matthew Upton, Josh Rushton-Crawshaw, Andrew Robson, Tim English, Emma Bradley, Joel Groves, Will Seed, Na Eun Kim  

Postgraduate Teaching

Newcastle & Durham Graduate Course

Publications