Jonatan Kallus

Jonatan Kallus has a diverse work experience in various roles and companies. Jonatan started their career in 2008 at Heysan (YC07), where they worked as a Developer and led the project for building an A/B testing framework, contributing to the company's viral growth. Jonatan also participated in product design and strategy discussions.

In 2009, Jonatan joined Songkick.com as a Developer and was involved in overhauling the data acquisition system for live music concerts. Jonatan learned Ruby and designed a new data model, streamlining the addition of new data sources.

From 2010 to 2014, Jonatan worked at Recorded Future as a Data Scientist and Software Engineer. Jonatan specialized in data aggregation and clustering, working with large datasets to present information according to user needs.

Parallel to their experience at Recorded Future, Jonatan worked as a Contracted student at Fraunhofer-Chalmers Research Centre for Industrial Mathematics in 2012, gaining additional research experience.

Jonatan's most recent role is as a Machine Learning Research Engineer at Kognic, starting in 2020. Additional details about their time at Kognic are not provided.

Throughout their career, Jonatan Kallus has demonstrated adaptability, technical expertise, and a strong research focus in machine learning and data analysis.

Jonatan Kallus has a strong educational background in mathematics and statistics. Jonatan began their studies at Chalmers University of Technology in 2009 and graduated with a Bachelor and Master degree in Engineering Mathematics and Complex Adaptive Systems in 2012. Subsequently, they continued their education at Chalmers University of Technology, where they obtained a Licentiate of Philosophy degree in Mathematical Statistics in 2017. Jonatan Kallus then pursued their academic journey, specializing further in Mathematical Statistics, and earned a Doctor of Philosophy - PhD degree from the same institution in 2020.