Lukas Moldon

Chair for Computational Social Sciences and Humanities (CSSH) - Conducting research projects with a focus on the development and application of algorithmic methods for the computational social sciences and humanities - Exemplary research project "genderBERT": Developing a deep learning model for gender classification on texts in Python - Developing Python scripts to automatically grade student home assignments - Supporting summer school SICSS-Aachen-Graz 2022 as Python tutor

Mentoring Informatik - Supporting and tutoring a group of 30 new Computer Science students as mentor - Organizing and leading weekly group meetings - Preparing presentations and creating study material

Mentoring Informatik

- Grade: 1.3 ("with distinction" / "mit Auszeichnung") - Focus: Data Science and Machine Learning - Applied subject: Business Administration - Master thesis (ongoing): Improving comment moderation (deep learning) models by data debiasing, in cooperation with GESIS CSS and Rheinische Post

- Applied subject: Business Administration - Bachelor thesis published at ICSE2021 and SE2022