Bio

Sanna Wong-Toropainen researches neuro-symbolic AI approaches to regulatory compliance and legal reasoning. Her doctoral work at the University of Helsinki Faculty of Law focuses on computational methods for interpreting EU digital regulations, including the AI Act, Data Act, and GDPR.

At Stanford CodeX, she is conducting the ComplianceTwin research pilot with five European enterprises (including Vaisala, PwC Finland, Tieto, iLOQ), developing AI systems that transform regulatory texts into structured legal knowledge for explainable compliance decisions. The project investigates how knowledge graphs and large language models can support traceable legal reasoning in high-stakes regulatory contexts.

She is affiliated with the University of Helsinki Legal Tech Lab and the Trust-M research consortium on trustworthy AI-enabled digital infrastructures (Strategic Research Council of Finland). Her research is supported by scholarships from the Finnish Work Environment Fund and the Foundation for Economic Development. Previously, she served as Data Protection Officer for Finland's Criminal Sanctions Agency and co-founded Muna.io, a privacy-tech startup.

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