July 5th, 2026: Joined the latest episode of LSEG’s Ahead of the Curve podcast to discuss the real-world impact and future of Agentic AI in quantitative risk management. Listen & Watch.
November 2025: Attended our APAC team’s ORE & Risk Analytics Lab event in Tokyo, which gathered Japanese risk professionals from leading financial institutions for an afternoon focusing on CVA frameworks, customized risk models, and capital efficiency.
January 2025: Featured on LSEG’s Ahead of the Curve podcast to discuss the UK model risk regulatory landscape (such as SS1/23), ORE tools, and the Risk Analytics Lab. Listen & Watch.
December 2024: Joined the Ahead of the Curve: 2024 Year in Review podcast episode to reflect on key ORE developments in 2024 (including PFE, XVA, and market risk sensitivities) and a look ahead to 2025. Watch | Listen
July 2024: Joined Roland Stamm on the Ahead of the Curve podcast to discuss counterparty credit risk and ORE, with focus on backtesting for risk factors, Bank of England latest, and post-2022 market scrutiny. Watch | Listen
March 2024: Published LSEG white paper Backtesting Future Risk Factors Case Study, demonstrating methodologies to validate credit exposure models against realized market metrics. Read Case Study
July 28th, 2022: Featured in the This Working Life column in the Irish Independent where I spoke about a day in the life of a data focused Quantitative Analyst.
May 2nd, 2022: Delighted to have made my TV debut on Brainstorm where I explained how applied mathematics and data science can be applied to ranking competitors in the sport of snooker! (18:01).
April 26th, 2022: Interviewed on the radio show Game On from RTE 2FM to discuss the ongoing Snooker World Championship and how mathematics can help us rank the competing players (1:37:44 onwards).
February 19th, 2022: My first R package spRingsteen has been published on CRAN, providing a range of datasets describing the career of Bruce Springsteen in a tidy format for data analysis.
January 26th, 2022: Gave an invited seminar to the Royal Statistical Society (Northern Ireland branch) on some of our recent work on using data-driven complexity science to understand the popularity of online content.
November 22nd, 2021: Delighted to see some of our work on Covid-19 modelling published in a special issue on ‘Data science approaches to infectious disease surveillance’ in Philosophical Transactions of the Royal Society A Link | Preprint.
October 22nd, 2021: Just out in Physical Review Research: Our work on Herbert Simon’s classical random-copying model and extensions to incorporate memory effects. Link.
May 14th, 2021: New in Physical Review Research - we take a deep dive into the emrgence of leader nodes across a large collection of empirical networks (open access). Link.
May 3rd, 2021: I was invited to write a blog for Oxford University Press on our recent work where we applied complex networks theory alongside data science techniques to the problem of ranking within the sport of snooker. Link.
February 4th, 2021: If you’ve ever wondered about webscraping in R or the secrets to success in Fantasy Premier League (or both!) then check out this invited webinar I gave for the WhyR? foundation. Slides | Video