About

I am an international and comparative lawyer, self-taught data scientist and polyglot researcher focusing on the interplay between law, science and technology in the global public interest.

I recently finished my PhD on computational analysis of multilateral environmental agreements at the University of Cambridge's Centre for Environment, Energy and Natural Resource Governance (CEENRG). During my doctoral studies, I acquired a range of IT, data science and machine learning skills for the purpose of collecting, analyzing and visualizing treaty data. Impressed by the breakthroughs in deep learning and concerned about the societal impacts, I took an opportunity to work on artificial intelligence (AI) governance and policy at the Leverhulme Centre for the Future of Intelligence (LCFI) for 3 years, then left to wrap up my dissertation.

Before Cambridge, I studied and worked at the University of Geneva (LLB and BA in Sinology and Philosophy), Tsinghua University (taking courses in Law and Sinology as a visiting student), and at the Graduate Institute of International and Development Studies (Masters in International Studies/Law). Having lived in Switzerland, Honduras, China and the UK, I am fluent in German, English, French, Spanish and Chinese (Mandarin). I also have intermediate (mostly passive) skills in Italian, Portuguese and Russian. Arabic is my next language goal, although in recent years I have found myself more interested in learning more programming languages. Python is my favorite so far.

My code & data can be found on Gitlab at https://gitlab.com/martinakunz and https://gitlab.com/legalinformatics, my AI governance research website at https://globalaigov.org and a draft website on treaty analytics at https://martinakunz.gitlab.io/treaty-analytics. I try to contribute to Stack Exchange when I can, to pay it forward. More outputs are in the pipeline.