I've contributed to the preparation of lectures, conducting exercises & lab sessions, grading, and supervising seminar topics for several courses offered by Prof. Dr. Stefan Decker at RWTH Aachen University, Germany:
- Data Science in Medicine (WS 2025/2026)
- Software Projektpraktikum – Building Large Language Model Applications (SS 2025)
- Master's in Medical Data Science, RWTH Aachen Academy, 21/22 & 22/23
- Semantic Web (Winter semester, 22/23)
- Semantic Web (Winter semester, 21/22)
- Knowledge Graphs Praktikum (Winter semester, 21/22 & 22/23)
- Methods for Data Reusability (Winter semester, 2020/2021)
- Knowledge Graphs Praktikum (Winter semester, 2020/2021)
- Methods for Data Reusability (Winter semester, 2019/2020)
- Knowledge Graphs Praktikum (Spring semester, 2019)
- Knowledge Graphs Praktikum (Spring semester, 2018)
- Object-Oriented Programming with Java (2015/16), University of Galway, Ireland.
Together with Prof. Dr. Stefan Decker, I supervised the following theses at RWTH Aachen University, Germany:
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FAIR Approach for Improving Discoverability and Reusability of Research Data (Bachelor thesis, 2017)
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Using Deep Neural Networks and Copy Number Variations for Cancer Detection (Master's thesis, 2018)
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Analysis of Breast Cancer Genomics Data with Multimodal Deep Belief Network (Master thesis, 2018)
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Classification of Cancer with Methylation-aware Motifs (Bachelor thesis, 2019)
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Automated Localisation and Semantic Segmentation Technique for Biomedical Imaging (Master thesis, 2019)
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Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and MRI Images (Master's thesis, 2019)
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Revealing Black-box Biomedical Patent Classification with Explanation Methods (Bachelor thesis, 2020)
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Imputation in Graphs Using Machine Learning (Master's thesis, 2020)
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Improving Human-AI Interaction via Explainable Chatbot: A Case Study for COVID-19 (Master thesis, 2021)
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A Meta-learning-based Approach for Automating Image Analysis in Cell Biology (Master's thesis, 2022).