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Jonatan Kallus has worked for several companies since 2008. Jonatan began their career as a Developer at Heysan (YC07), where they were responsible for creating an A/B testing framework, viral framework, and integrating the system with memcached. In 2009, they moved to Songkick.com as a Developer, where they designed a new data model and created a framework for streamlining the addition of new data sources. From 2010 to 2012, they worked at Recorded Future as a Data Scientist and Software Engineer, where they were responsible for data aggregation and clustering. In 2012, they became a Contracted Student at the Fraunhofer-Chalmers Research Centre for Industrial Mathematics. Finally, in 2014, they began their PhD Student role at Chalmers University of Technology and in 2020 they became a Machine Learning Research Engineer at Kognic.

Jonatan Kallus attended Chalmers University of Technology from 2009 to 2020, where they obtained a Bachelor and Master degree in Engineering Mathematics and Complex Adaptive Systems in 2012, a Licentiate of Philosophy in Mathematical Statistics in 2017, and a Doctor of Philosophy in Mathematical Statistics in 2020.