Doctoral Researcher in the Educational Technologies at DIPF
Information Center for Education
Rostocker Straße 6, 60323 Frankfurt am Main


Telephone: please contact me by E-Mail
Email: s.gombert [at]

I started to work as a doctoral researcher at the Educational Technologies group, DIPF, in 2021. Before this, I studied Linguistic and Literary Computing at TU Darmstadt. I finished with a thesis on detecting semantic uncertainty in scientific writing using pre-trained transformer language models and conditional random fields. Besides this, I worked as a teaching assistant, software developer and junior research assistant in various contexts and was active in academic self-government. When I am not busy researching, I like producing electronic music, playing the drums and hiking.
I am primarily interested in processing linguistic and behavioural learner data using methods from data science, machine learning, natural language/speech processing, corpus linguistics and computational social science, an endeavour often referred to as learning analytics. Within the field of learning analytics, my main interest is to build systems that analyse learners’ performance and interactions to support them with adaptive individualized feedback. Moreover, I am interested in research infrastructures, research software engineering and cognitive and post-structuralist approaches to linguistics.
  • Master of Arts in Linguistic and Literary Computing, 2021, TU Darmstadt
  • Bachelor of Arts in Digital Philology and Computer Science, 2019, TU Darmstadt
  • 2014 – Developer @ Sanofi-Aventis Deutschland GmbH
  • 2015-2017 – Developer @ Abius GmbH
  • 2015-2020 – Co-founder @ mediacollective UG
  • 2017 – IT Administrator @ Student Council FB2, TU Darmstadt
  • 2016-2021 Teaching- and Junior Research Assistant @ Corpus- and Computational Linguistics, TU Darmstadt
  • 2020 Teaching Assistant @ Ubiquitous Knowledge Processing Lab, TU Darmstadt
  • 2020-2021 Developer @ AskAlbert / studiumdigitale, Goethe Universität Frankfurt
  • Fink, A., Frey, A., Liu, T., & Gombert, S. (2022, September). Nutzung von Natural Language Processing zur automatisierten Kodierung von Essays in digital gestützten Großveranstaltungen an Hochschulen. In 52nd Conference of the German Psychological Society (DGPs).
  • Gombert, S. (2022). Workshop: Assessing constructed responses with explainable natural language processing. In Sixteenth EATEL Summer School on Technology Enhanced Learning.
  • Gombert, S., Bhattacharya, S., Di Mitri, D., Drachsler, H. (2022). Interpretierbare maschinelle Sprachverarbeitung für die Identifikation konzeptionellen Wissens in energiephysikbezogenen deutschsprachigen Kurzantworten. In Komplexität nicht nur bewältigen, sondern zu Nutze machen: Log- und Textdaten im Educational Assessment. 9. Tagung der Gesellschaft für Empirische Bildungsforschung.