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Julian Glatzer has a diverse work experience in the fields of big data engineering, machine learning, and research. From 2019 to the present, they have been working as a Senior Big Data Engineer at Nexthink, where they are responsible for developing and maintaining big data systems. Prior to this, they worked as a Machine Learning and Data Engineer at Nexthink from 2019 to 2023.

Julian also has a background in research, having worked as a Marie Curie Fellow at Universitat Autònoma de Barcelona from 2016 to 2019. During this time, they conducted research in an interdisciplinary field.

In addition, Julian has experience working at CERN as an Associate Member of Personnel from 2008 to 2019. Julian also served as a Postdoctoral Research Fellow at CERN from 2013 to 2015, where they contributed to research projects and collaborated with other researchers.

Furthermore, Julian worked as a Postdoctoral Researcher at Albert-Ludwigs-Universität Freiburg im Breisgau in 2016. In this role, they developed a framework for statistical data analysis and machine learning methods for the classification of Higgs boson production and background. Julian also led a research group consisting of two postdocs, a Ph.D., and an MSc student during this time.

Overall, Julian's work experience highlights their expertise and involvement in various technical roles as well as research positions.

Julian Glatzer obtained a Vordiplom degree in Physics from The Julius Maximilians University of Würzburg in 2007. Julian then pursued further studies in Mathematics at the same university from 2005 to 2007. In 2008, Julian Glatzer enrolled at Rutgers University and obtained a Master's Degree in Physics in 2008. Julian went on to complete their education at The University of Freiburg, where they obtained a Doctor of Philosophy (Ph.D.) degree in Elementary Particle Physics in 2013.