Using data driven methods from statistics and machine learning, my work lies at the intersection between social science and computer science.
Recently, I have been working quite a bit with neural networks to study data privacy and institutions in governance. Some of my projects have had a particular focus on Latin America.
You can read my Political Science papers in the Journal of Politics or International Interactions, among others. I presented findings relevant to Computer Science at the International Conference on Machine Learning and the Theory and Practice of Differential Privacy Workshop Series.
I regularly collaborate with private and public institutions as a consultant.
February 2022 I will again be teaching the Masterclass on Deep Learning at the Q-Step Centre in Warwick.
November 2021 The paper “Hidden in Plain Sight? Irregularities on Statutory Forms and Electoral Fraud” with Zach Warner, J. Andy Harris and Michelle Brown was just published in the December volume of Electoral Studies.
July 2021 Looking for the material for the Deep Learning Workshop at the CIVICA Summer School? This is the Repo.
July 2021 I will step in as Deputy Director of Postgraduate Studies (Research) at the School. Looking forward to keep building an environment that allows our PhD students to thrive.
March 2021 The programme for the 1st PolMeth Europe is online now.
February 2021 I will be teaching the masterclass on Deep Learning at the Q-Step Centre in Warwick again this year. The class is on Feb. 22nd–all online of course. To book, follow this link.
February 2021 ICLR 2021will have a workshop on the quality, privacy and bias of synthetic data. Submit your proposals until Feb 26th here. I will be on the Programme Committee and am looking forward to reading loads of SocSci related work.
February 2021 I am teaching the fully flipped Intro to Data Science for the first time this year to Cardiff’s undergraduates. This way to the module home.
January 2021 Michelle Brown (NDI), J. Andrew Harris (NYU Abu Dhabi), Zach Warner (Cardiff) and myself have been developing CNNs to detect voting irregularities via image data (documents & satellites). We just received ESRC funding that helps us putting things into practice at the National Democratic Institute.
November 2020 Marcel Neunhoeffer (Mannheim) and I presented our paper Really Useful Synthetic Data — Promises and Challenges of Releasing Sensitive Information With Differentially Private Data Synthesizers at this year’s TPDP as part of CCS 2020 and also at the AI Policy Conference at RegHorizon.