M. Sc. Yulia Grushetskaya
Building
A 20,
Room
303 (Büro)
Telegrafenberg
14473
Potsdam
Function and Responsibilities:
Develop Explainable AI (XAI) Methods for Geoscience Applications:
- Research Geoscientists' Explainability Needs: Understand geoscientists' specific explainability needs and challenges in Machine Learning applications.
- Develop New XAI Methods: Design and develop XAI methods that address the identified needs.
- Develop and Maintain ClarifAI Platform: Integrate the developed XAI methods into the ClarifAI system and maintain them to ensure continuous improvement and user support.
Research Interests:
- Explainable Artificial Intelligence (XAI)
- Artificial Intelligence (AI)
- Human-computer interaction (HCI)
Career:
- Since 07/2023: Researcher, GFZ
- 10/2018 - 06/2023: Working Student Software Developer, Anaqor AG, Berlin
Education:
2023 M.Sc. Computer Science, Humboldt University of Berlin