Nikolas Höft

Nikolas Höft has held a variety of roles in the field of data science and machine learning since 2015. From 2015 to 2016, they were a Research Intern at the Universität Bremen, followed by a role as a Student Research Assistant at the same institution from 2016 to 2017. In 2017, they worked as a Working Student Data Science at ixto GmbH and was also self-employed as a Data Analysis and Visualization professional. From 2018 to 2019, they were a Master Thesis Student at the Technische Universität Berlin, researching Risk-sensitive Partially Observable Markov Decision Processes. Additionally, they held roles as a Student Research Assistant at Charité, where they worked on Statistical power analyses, Anomaly detection, and Deep Learning for medical imaging, and as a Machine Learning Engineer and Working Student at Civey.

Nikolas Höft completed their Bachelor of Science in Psychology at the University of Bremen from 2013 to 2016. Nikolas then went on to earn their Master of Science in Statistics at Humboldt-Universität zu Berlin from 2016 to 2019.