Thomas Panum is a partner and PhD-trained adversarial machine learning researcher with 12 years of experience combining deep technical research and production-grade software engineering. He studies and mitigates fragility and overconfidence in modern AI, with security-minded publications (ICML, USENIX CSET) and an open-source platform that helped secure significant funding. In industry roles he has built large-scale forecasting and trading systems, led CI/CD for 50+ developers, and designed market access and automated trading infrastructure across US ISOs. Comfortable moving between research and operations, he has taught and supervised 100+ students and translated ML robustness insights into real-world energy trading and risk systems. An unexpected thread through his career is a creative side—early work in music publishing—illustrating an ability to bridge technical rigor with broader cultural and product perspectives.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Aalborg University
Contributions:2 PRs, 22 pushes, 2 branches in 2 years 9 months
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