Hi! I’m Dario, a Senior Data Scientist at BASF with a PhD in Molecular Neuroscience (University of Heidelberg / Max Planck Institute). I work at the intersection of machine learning and the life sciences.
What I do: I build ML solutions for complex data, including graph-based simulations of production networks, knowledge graphs integrating multi-source data, and genomic foundation-model applications. Before BASF, I spent three years at IBM developing graph analytics, EHR-based predictive models, and anomaly-detection systems.
Where I’m headed: I’m expanding into computational biology, bioinformatics, and AI-driven scientific discovery. Recent projects include a brain region classifier trained on GTEx RNA-seq data (95% accuracy; top features map to known neuroscience markers), and a multi-agent system for drug-target reconnaissance that autonomously queries Open Targets, UniProt, ChEMBL, and PubMed to identify and rank therapeutic targets for a given disease. I’m also completing coursework in sequence alignment, NGS, and variant prediction.
Background: I started university at 15 and finished my PhD at 25. My research at the Max Planck Institute focused on glutamate receptors and memory formation using AAV-based tools. I’ve contributed to publications in the EMBO Journal and at the AMIA symposium.
I love languages and speak English, German, Spanish, French, and Italian. I also have HSK3/4 level in Mandarin Chinese.
