Post Address :
Department of Statistics
24-29 St Giles
Oxford, OX1 3LG
Phone: Dept +44-1865-282853; College +44-1865-278938|
Office: Room 1.12, Dept of Statistics, 24-29 St Giles
Maps: [Dept/College], [Streetview], UK rain, Oxford weather
Department: People, Events and CSML Research Group
Reference: catalogue, E-journals, minerva and OxCORT
I joined the department in 2005 from Auckland in New Zealand. I was HOD here in Oxford from 2012-2015.
Here is a picture of me (in 2016). I have a college homepage at St Peters.
We work with scientists in a range of areas, bringing their data and their scientific understanding together
in a mathematical framework, and quantifying uncertainty using statistical methods.
We are looking for new fields of application for statistical modeling. When things are going well we develop
new statistical methods, new computational methods and solve problems of real scientific interest.
Current Graduate Students
Chris Carmona (DPhil: Model mispecification and big missing data)
Mark Roeling (DPhil: Models for network based fraud)
Hanwen Xing (DPhil: Calibration procedures for approximate Bayesian credible sets)
Schyan Zafar (DPhil Non-parametric stochastic processes and time-evolving word meanings)
Alexis Muir-Watt (DPhil 2016: Inferring partial orders from random linear extensions: models for social hierarchy)
Ross Haines (DPhil 2016: Estimation of spatial fields and measurement locations: the Atlas of Late Middle English)
Luke Kelly (DPhil 2016: A stochastic Dollo model for lateral transfer: phylogenetics and lexical traits)
Hanwen Xing (MSc Stat Sci 2018: A comparison study of ABC algorithms)
Adrien Hairault (MSc Stat Sci 2018: Approximate inference for large data sets in sample-based Bayesian inference)
Jinhan Wu (MSc Stat Sci 2018: Identifying body fluids using DNA profiling)
Chengzhou Yang (MSc Stat Sci 2018: Modeling Formula 1 tyre degradation)
Xuewen Yu (MSc App Stats 2017: reconstructing phylogenies using ABC)
Jake Barrett (MSc App Stats 2017: Election forecasting: statistical models and Bayes methods)
Xiwen Liu (MSc App Stats 2017: ABC inference for the parameters of a point process)
David Moloney (MSc App Stats 2017: Predicting the clinical outcome of chronic myeloid leukaemia)
Huang Yu (MSc App Stat 2016: Forecasting earthquake damage in China)
Anthony Webster (MSc App Stat 2016: forecasting lightning strikes)
Xiankai Gao (MScApp Stat 2016: new MCMC algorithms for intractable likelihoods)
Xixi Yu (MSc App Stat 2016: models for random partial orders with covariate effects)
Google Scholar and Scopus list my publications with citation links and the ISI maintain a conference calendar.
Teaching and Supervision
This year I am teaching a Part C and MSc course Bayes Methods and parts of a Part B and MSc course
Computational Statistics and a Part A course Statistical Programming. I tutor Statistics, Probability and
Numerical Analysis in College and supervise Part C and MSc dissertations (eight students this year).
I have in the past run a comp stats taster session as part of the Stats
Taster Days for year 12
high school students and for the UNIQ students. I help Oxford host the Academy for PhD Training in Statistics
from time to time. In the past I have lectured Data Mining, Simulation, Statistical Inference, Applied Statistics
and Bioinformatics and a simple intro to MCMC. Here are the term dates for the next few years.