About me

Hi, welcome!

I am a PhD student in the Genome Data Science research group at Bielefeld University, Germany, and part of the Digital Infrastructure for the Life Sciences (DILS) graduate school.

I am a teaching assistant for some courses you can find here, and lucky co-supervisor of three Master students working on molecular synthesizability prediction, molecular activity prediction with graph neural networks, and multi-modal machine learning on cancer data.

Previously to becoming a PhD student, I graduated with a BSc in Genomics and a MSc in Artificial Intelligence Systems.

Research topics

My research focuses on drug discovery, and it sits at the intersection of drug design and artificial intelligence.

I am interested in making drug design better, faster, more accessible, and less reliant on animal testing.

Recently, I’ve been working with graph neural networks (GNNs), generative flow networks (GFlowNets), and diffusion models.