About me
I am a Ph.D. student in the Modeling and Simulation Group at the Computer Science Department of Saarland University and part of the NextAID research initiative.
My research is broadly focused on neuroexplicit models for computer-aided drug design. I am particularly interested in how chemical domain knowledge can be incorporated into machine learning methods. I currently explore this question in practice in terms of kinase binding-affinity prediction and structural elucidation based on tandem mass spectrometry data.
Publications
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Real-time Decision Making For a Car Manufacturing Process Using Deep Reinforcement Learning.
Proceedings of the 2020 Winter Simulation Conference.
Joint work with Timo P. Gros and Verena Wolf. -
Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning.
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 06. 2020
Joint work with Álvaro Torralba, and Maximilian Fickert.
Theses
- Comparing and Combining Novelty and Dominance Pruning (2019-2020) Bachelor Thesis
Teaching
- Summer 20: TA for Statistics Lab
- Summer 21 : Concurrent Programming
- Summer 21: Deep Reinforcement Learning Seminar
- Summer 22: Statistics Lab
- Winter 22/23: Deep Reinforcement Learning Seminar