Nadja Geisler

Nadja Geisler M.Sc.

+49 6151 16-25603
+49 6151 16-25602

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 D110


Research Interests

  • Explainable Artificial Intelligence
  • Post-Hoc Interpretations for Black Box Machine Learning Models
  • Ethical, Responsible and Sustainable AI/ML
  • Natural Language Processing

Biographical Information

I have studied at TU Darmstadt and received a Bachelor's degree in Computer Science, and two Master's degrees, Computer Science with a minor in Entrepreneurship and Innovation and Internet- and Web-based Systems. In March 2020 I started working at the Data Management group, supervised by Prof. Carsten Binnig, and pursuing a Dissertation in the area of Explainability/Interpretability of in Maschine Learning systems.

I am interested in various areas where Computer Science intersects with areas such as ethics, society, equality etc. Within Computer Science I specialize in Machine Learning/Artificial Intelligence with a focus on responsible AI.

I have been active in the student council, various university commitees, the Conference of German-speaking Computer Science Student Councils, CCC events, as well as initiated and organized the first CASTrm in 2019.


  • DESIRES 2021: Quest: A framework for query-driven explainers on tabular data. Best Presentation Award Proceedings Recording
  • DESIRES 2021: Netted?! How to Improve the Usefulness of Spider & Co. Proceedings Recording
  • 36c3 2019: Der Deep Learning Hype – Wie lange kann es so weitergehen? [More Information, Recording, German, English and French translation available]
  • CASTrm 2019: Badasses in Computer Science – and why we need to talk about them


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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019
Anzahl der Einträge: 3.


Weir, Nathaniel ; Utama, Prasetya ; Galakatos, Alex ; Crotty, Andrew ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Cetintemel, Ugur ; Binnig, Carsten
Maier, David ; Pottinger, Rachel ; Doan, AnHai ; Tan, Wang-Chiew ; Alawini, Abdussalam ; Ngo, Hung Q. (Hrsg.) (2020):
DBPal: A Fully Pluggable NL2SQL Training Pipeline.
In: SIGMOD'20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, S. 2347-2361,
ACM, SIGMOD/PODS '20: International Conference on Management of Data, virtual Conference, 14.-19.06.2020, ISBN 978-1-4503-6735-6,
DOI: 10.1145/3318464.3380589,

Hättasch, Benjamin ; Geisler, Nadja ; Meyer, Christian M. ; Binnig, Carsten (2020):
Summarization Beyond News: The Automatically Acquired Fandom Corpora.
In: Proceedings of The 12th Language Resources and Evaluation Conference, S. 6700-6708,
European Language Resources Association, ISBN 979-10-95546-34-4,


Weir, Nathaniel ; Crotty, Andrew ; Galakatos, Alex ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Cetintemel, Ugur ; Utama, Prasetya ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Binnig, Carsten (2019):
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
Los Angeles, California, USA, 1st International Workshop on Conversational Access to Data (CAST) in conj. with the 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, California, USA, [Konferenzveröffentlichung]

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