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Current Courses (Summerterm 2026)
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Bioinformatik II4 hrs/week · Centre for Bioinformatics · Co-Lecturer & Teaching AssistantFoundational course for bachelor students covering structural bioinformatics, docking, and cheminformatics.
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Protein Generation and DesignBlock Course · Chairs for Drug Bioinformatics & Data Driven Drug Design · Teaching AssistantTogether with the students, we will explore the latest methods in protein generation and design.
Previous Courses
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Structural Bioinformatics2 hrs/week · Chairs for Drug Bioinformatics · Co-LecturerThis course covers structural bioinformatics and the history and modern methods of protein structure prediction.
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Bioinformatik II4 hrs/week · Chairs for Drug Bioinformatics & Data Driven Drug Design · Co-Lecturer & Teaching AssistantFoundational course for bachelor students covering structural bioinformatics, docking, and cheminformatics.
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School for Molecular and Theoretical Biology in Astana, Kazakhstan2 weeks · School for Molecular and Theoretical Biology · Lecturer & PI in KalininaLabIn this two-week summer school, high school students investigated the performance of different layers of Protein Language Models on various downstream tasks.
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Bioinformatik II4 hrs/week · Chairs for Drug Bioinformatics & Data Driven Drug Design · Co-Lecturer & Teaching AssistantFoundational course for bachelor students covering structural bioinformatics, docking, and cheminformatics.
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Comparison and Clustering of Biological MoleculesBlock Course · Chair for Drug Bioinformatics · Teaching AssistantThis course explores algorithms to compare and cluster biological molecules such as FoldSeek, MMseqs2, MASH, etc.
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School for Molecular and Theoretical Biology in Istanbul, Turkey2 weeks · School for Molecular and Theoretical Biology · Lecturer & PI in KalininaLabWe investigated the performance of different layers of Protein Language Models on various downstream tasks and the effect of different tokenization techniques.
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Explainable Artificial IntelligenceBlock Course · Chair for Drug Bioinformatics · Teaching AssistantIn this seminar, we explored methods to explain the predictions of machine learning models in the context of bioinformatics applications.
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School for Molecular and Theoretical Biology in Yerevan, Armenia2 weeks · School for Molecular and Theoretical Biology · Tutor in KalininaLabWe investigated the performance of different layers of Protein Language Models on various downstream tasks and important features in these layers.
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Deep Learning for Drug DiscoveryBlock Course · Chairs for Drug Bioinformatics & Modeling and Simulation · Teaching AssistantThis seminar focuses on deep learning methods for learning molecular representations, predicting molecular properties and, ultimately, for finding novel molecules with desired properties.
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Data Analysis and Artificial Intelligence2 hrs/week · Multilple Chairs at the Saarland Informatics Campus · TutorThis seminar focuses on deep learning methods for learning molecular representations, predicting molecular properties and, ultimately, for finding novel molecules with desired properties.
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School for Molecular and Theoretical Biology remotely2 weeks · School for Molecular and Theoretical Biology · Teaching Assistant in the KalininaLabWe investigated the performance of different layers of Protein Language Models on various downstream tasks and important features in these layers.
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StatisticsLab2 hrs/week · Chair for Computer Science and Computer Linguistics · TutorThe lecture teaches basic knowledge in statistics and probability theory, and statistical data analysis with Python.
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StatisticsLab2 hrs/week · Chair for Modeling and Simulation · TutorThe lecture teaches basic knowledge in statistics and probability theory, and statistical data analysis with Python.
Thesis Supervision
| Student | Thesis Title | Level | Year |
|---|---|---|---|
| Vahid Atabaighi Elmi | Addressing data leakage in a deep learning model for predicting small molecule substrates of enzymes | Master | 2025 |
| Tanya Malkani | Bioinformatics and Machine Learning Methods for Predicting Protein-RNA Interactions | Master | 2024 |
| Kinaan Aamir Khan | Bioinformatics and Machine Learning Methods for Predicting Protein-RNA Interactions | Master | 2024 |
| Mattes Warning | Antigen Conditioned Antibody Generation and Optimization using Deep Learning Methods | Bachelor | 2023 |
| Philipp Götzinger | Using Weisfeiler-Lehman kernels to compare protein graphs (co-supervised) | Bachelor | 2023 |