Derek van Tilborg is a PhD candidate in the molecular machine learning team at the Eindhoven University of Technology (Chemical Biology, Dept. Biomedical Engineering). Having an academic background in both biomedical sciences and bioinformatics, he has developed a passion for artificial intelligence in the realm of drug discovery. Derek works on improving how machine learning approaches are applied to drug screening data to bridge the gap between computational methods and preclinical experiments. His research interests include graph neural networks, active learning, activity cliffs, and molecular representations. When he is not thinking about science, Derek spends most of his time climbing, running, or lifting weights.