Appendix C — Curriculum Vitae

Keywords

Artificial Intelligence, Trustworthy AI, Counterfactual Explanations, Algorithmic Recourse

Patrick Altmeyer was born on March 28, 1993 in Düsseldorf, Germany. From 2003 until 2012, he followed his secondary school education at the Geschwister-Scholl-Gymnasium, Düsseldorf, completing the Abitur with one of the highest final grades in the state of North-Rhine-Westphalia. Upon graduation, he was the recipient of the prestigious “Deutschlandstipendium” scholarship and recognized by the Deutsche Physikalische Gesellschaft for achieving outstanding scores in Physics.

After this, he pursued the Degree of Master of Arts (2013-2017) at the University of Edinburgh, which he completed with First Class Honours in Economics as one of the top three students of his cohort. He received the School of Economics Prize for academic excellence in Economics (2013) and the Joint Prize for the best performance in Economics (2017). During these studies, he also spent one year studying abroad at Universitat Pompeu Fabra, held a TEDx talk on European integration and gained professional experience through multiple internships at the Handelsblatt Research Institute and part-time teaching activities for the School of Economics.

Following his undergraduate degree, Patrick Altmeyer worked as post-graduate intern for the Bank of England before pursuing a postgraduate degree at Barcelona School of Economics (2017-2018). The institution awarded him a Full-Tuition Scholarship and he obtained the Master Degree in Economics and Finance, achieving the highest overall grade in the finance program. He then returned to the Bank of England as a graduate economist (2018-2021), where he was involved in research, market intelligence, policy briefing work and software development. He presented research on the demand for central bank reserves at the European Central Bank (2019) and co-authored a staff working paper on yield curve sensitivity (2023). During his final year of employment, the Bank of England funded his pursuit of the Master Degree in Data Science at Barcelona School of Economics (2020-2021), which he completed with excellent grades.

From 2021, Patrick Altmeyer pursued the Ph.D. degree at Delft University of Technology under the supervision of Dr. ir. Cynthia C. S. Liem and Prof. dr. ir. Arie van Deursen. The program was funded by AI for Fintech Research—a five-year collaboration between ING and Delft University of Technology and a participating lab of the Innovation Center for Artificial Intelligence (ICAI). His research collaborations with ING colleagues Mojtaba Farmanbar, Flavia Barsotti and Floris den Hengst led to publications in top-tier venues (Altmeyer, Farmanbar, et al. 2024; Hengst et al. 2024) and a 1st Prize Win at ING Experiment Week 2023. He also published research at the First IEEE Conference on Secure and Trustworthy Machine Learning (2023) and the Forty-First International Conference on Machine Learning (2024).

During his Ph.D. studies, Patrick Altmeyer gained further industry exposure through invited talks at the Bank of England, De Nederlandsche Bank, The Alan Turing Institute and the TÜV AI.Lab, among others. He also proactively reached out to the public by maintaining a blog¹ focused on communicating his research in an accessible manner. Several of his blog post were featured as editor’s picks on the popular online publication, Towards Data Science. He also founded and maintained Taija², an open-source software organization for Trustworthy AI in Julia. Taija has earned great recognition in the Julia community with multiple presentations at JuliaCon Global, Google Summer of Code projects and a total of more than 300 stars on GitHub. Among the list of contributors are colleagues from ING, as well as former bachelor’s and master’s students from Delft University of Technology who Patrick Altmeyer (co-)supervised throughout his Ph.D. Outside of the professional realm, Patrick Altmeyer combined his passion for sports with a charitable cause in 2024, when he organized a fundraiser for Mental Health Europe that received more than €1,000 in donations.

Following his Ph.D. defense in early 2026, Patrick Altmeyer will be on the job market. He is open to roles in both academia and industry.

The following print versions of my CV are available: [full], [academic], [industry]. The full version is shown below.

Altmeyer, Patrick, Giovan Angela, Aleksander Buszydlik, Karol Dobiczek, Arie van Deursen, and Cynthia C. S. Liem. 2023. “Endogenous Macrodynamics in Algorithmic Recourse.” IEEE. https://doi.org/10.1109/satml54575.2023.00036.

Altmeyer, Patrick, Leva Boneva, Rafael Kinston, Shreyosi Saha, and Evarist Stoja. 2023. “Yield Curve Sensitivity to Investor Positioning Around Economic Shocks.” Bank of England working papers 1029. Bank of England. https://doi.org/None.

Altmeyer, Patrick, Andrew M Demetriou, Antony Bartlett, and Cynthia C. S. Liem. 2024. “Position: Stop Making Unscientific AGI Performance Claims.” In International Conference on Machine Learning, 1222–42. PMLR. https://proceedings.mlr.press/v235/altmeyer24a.html.

Altmeyer, Patrick, Mojtaba Farmanbar, Arie van Deursen, and Cynthia C. S. Liem. 2024. “Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals.” In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 38:10829–37. 10. https://doi.org/10.1609/aaai.v38i10.28956.

Altmeyer, Patrick, Pedro Gurrola-Perez, Rafael Kinston, and Jessica Redmond. 2019. “Modelling the Demand for Central Bank Reserves.” https://www.ecb.europa.eu/press/conferences/html/20191111_ecb_money_market_workshop_conference.en.html.

Hengst, Floris, Ralf Wolter, Patrick Altmeyer, and Arda Kaygan. 2024. “Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition.” In Findings of the Association for Computational Linguistics: NAACL 2024, 2412–32. https://doi.org/10.18653/v1/2024.findings-naacl.156.

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1. https://www.patalt.org/blog/

2. https://www.taija.org/