Bio
I have a DPhil in Statistics from the Modern Statistics and Statistical Machine Learning (StatML) doctoral programme at the University of Oxford, supervised by Professor Christl Donnelly and Dr Kris V Parag.
I am currently working with Verdel Instruments, developing statistical and machine learning methods and software for 2D mass spectrometry data. I have also worked with GYRE Energy on modelling thermal battery systems.
My doctoral thesis focused on robust statistical methods for analysing infectious disease dynamics with an emphasis on uncertainty quantification. My most recent work developed a decision-theoretic framework for uncertainty quantification that is targeted to the practicalities of epidemiology, and extended existing popular methods to improve the robustness of their uncertainty quantification.
Further research from my thesis combines Bayesian inference, sequential Monte Carlo methods (see also), and epidemiological modelling, with applications to standard epidemiological data, as well as survey data (see also) and wastewater-based surveillance (see also).
During my DPhil I also worked as a research assistant in The Global Reference Group on Children Affected by Crisis, estimating orphanhood in Brazil during the COVID-19 pandemic, and tutored in the Department of Statistics, at Magdalen College and on the Oxford Study Abroad Programme.
Before my DPhil, I spent 18 months modelling COVID-19 for the New Zealand government (March 2020 – September 2021); our team was awarded the Prime Minister’s Science Prize. I also did a quantitative trading internship at Optiver in Sydney (November 2019 – January 2020) and a data analysis internship at a startup in Bangkok (January – February 2018).
Education
University of Oxford | Oxford, United Kingdom
DPhil in Statistics | 2021 – 2025
University of Canterbury | Christchurch, New Zealand
BSc (Hons) Computational and Applied Mathematics | 2019
University of Canterbury | Christchurch, New Zealand
BSc Financial Engineering and Statistics | 2016 – 2018
I also studied statistics at National University of Singapore on an exchange programme in 2018.
Experience
Posteriori | London, United Kingdom
Statistical machine learning research consultant | 2026 – present
Verdel Instruments (2D mass spectrometry); GYRE Energy (thermal batteries)
Department of Statistics, University of Oxford | Oxford, United Kingdom
Teaching assistant and course tutor (part-time) | 2023 – 2025
A12 Simulation and Statistical Programming; also college tutor at Magdalen College and course tutor on the Oxford Study Abroad Programme
The Global Reference Group on Children Affected by COVID-19 and Crisis, University of Oxford | Oxford, United Kingdom
Research assistant (part-time) | 2022 – 2025
Estimates of the number of children experiencing orphanhood, with the CDC, WHO and other public health agencies
Te Pūnaha Matatini and University of Auckland | New Zealand
Research assistant | 2020 – 2021
Government-funded COVID-19 modelling programme; worked with academics, policymakers and journalists
Optiver | Sydney, Australia
Options trading intern | 2019 – 2020
Designed an auto-trader; manual options trading
Spatial and Image Learning Team, University of Canterbury | Christchurch, New Zealand
Research assistant (part-time) | 2019
Links
GitHub · Google Scholar · LinkedIn · ORCID
Contact
Get in touch: nic@posteriori.co.uk
My email filter can be aggressive. If you don't hear back, please reach out on LinkedIn.