Anna Bodonhelyi is a Ph.D. student under the supervision of Prof. Dr. Enkelejda Kasneci. She finished her M.Sc. studies in Robotics, Cognition, Intelligence at the Technical University of Munich (TUM) and Mechatronics Engineering at the Budapest University of Technology and Economics, in parallel. Anna focuses on the automatic detection of self-regulation problems (such as mind-wandering) with machine learning during online lectures.
Sofia Jaime is a researcher at the Chair for Statistics and Data Science in Social Sciences and the Humanities (SODA) led by Prof. Dr. Frauke Kreuter. Sofia is interested in race and ethnicity and automated decision making processes as well as new data collection methods. She holds an MA in Social Sciences from Carlos III University of Madrid, an MA in Migration Studies from Comillas University of Madrid and a BA in Sociology from the University of Buenos Aires.
Kathrin Seßler is a Ph.D. student at TUM under the supervision of Prof. Dr. Enkelejda Kasneci (Chair for Human-Centered Technologies for Learning). She finished her M.Sc. studies in Computer Science at the University of Tübingen. During her Master Thesis she started working with Language Models and her research focus is now on the application of Natural Language Processing in the educational domain.
Johanna Sommer is a PhD student at TUM supervised by Stephan Günnemann (Data Analytics and Machine Learning Group). Before joining TUM for a Master's degree in computer science, she obtained her Bachelor's degree through a dual study program with IBM, which included research internships in San Francisco and Zurich. Johanna holds the MDSI / Linde PhD fellowship and now works on GNNs for molecule generation and combinatorial optimization problems.
Wiebke Weber is Scientific Manager at the Chair for Statistics and Data Science in Social Sciences and the Humanities (SODA) at LMU, Munich and Research Fellow at the Research and Expertise Centre for Survey Methodology (RECSM) of Universitat Pompeu Fabra (Barcelona, Spain).