Leonie Bossemeyer

Leonie Bossemeyer's work experience begins in 2018 as an Intern at the German Council of Economic Experts, where they collaborated in research and created a Stata tool for simulating economic effects. Leonie also conducted research on the effects of globalization on voter behavior in the EU. In 2018, they also worked as an Intern at SPIEGEL ONLINE in the field of Data Journalism.

From 2018 to 2021, Bossemeyer worked as a Research Assistant at LMU - Ludwig-Maximilians-Universität München.

In 2020, they served as a Demonstrator for Machine Learning Practical at The University of Edinburgh.

Currently, since October 2021, Bossemeyer is employed as a Machine Learning Engineer at Pieces.app, where they design and implements ML software for enriching file fragments with metadata, focusing on NLP, search and recommendation, and ML on local devices.

Leonie Bossemeyer's education history includes a Bachelor of Science degree in Volkswirtschaftslehre from Humboldt-Universität zu Berlin from 2014 to 2017. Leonie then pursued an exchange program in Economics at UC San Diego from 2016 to 2017. Following that, Leonie obtained a Master of Science degree in Quantitative Economics from Ludwig-Maximilians-Universität München from 2018 to 2021. Leonie'seducation journey continued with a Master of Science degree in Data Science (School of Informatics) from The University of Edinburgh from 2019 to 2020.