I’m a PhD Candidate in Trustworthy Artificial Intelligence at Delft University of Technology working on the intersection of Computer Science and Finance.

My current research revolves around Counterfactual Explanations and Probabilistic Machine Learning. Previously, I worked as an Economist for the Bank of England.

I primarily code in Julia and publish through Quarto. Occasionally I also use R, Python and C++. As much as possible I contribute to open-source: Github.

You can find the code that builds this website using Quarto in this repo.


  • In May 2024, I’ll be in London, UK, to present research at ECONDAT 2024 (King’s College London), The Alan Turing Institute and Imperial College London. If you’re around, come say hi!
  • Our position paper “Against Spurious Sparks—Dovelating Inflated AI Claims 🕊️” has been accepted at ICML 2024. We argue that finding patterns in latent embeddings of models like LLMs is not surprising and call for the academic community to exercise extra caution when interpreting such findings. [preprint], [blog post]
  • I was at AAAI 2024 in Vancouver, Canada presenting our work on Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. If you’re around, come say hi! [preprint], [blog], [TDS], [code], [slides/poster]
  • I’ve published a new lightweight Julia package for working with the Trillion Dollar Words dataset, model and embeddings. Find out more about it here.
  • The Taija package ecosystem for Trustworthy AI in Julia is slowly growing. If you’re interested in contributing, please get in touch!
  • As of September 15, 2023, I’m a third-year PhD student. I’m still loving the experience, although second year did get a bit stressful at times. I’m looking forward to the next two years!


You can best reach me via my work email or you can set up a chat.