Dinko Franceschi,

Dinko Franceschi’s research centers on mechanistic interpretability and the development of safe AI models for biology. At Harvard Medical School, he leads a project using sparse autoencoders to discover interpretable features in DNA sequence and mechanics.

Previously, Dinko worked as an ML Engineer at the Broad Institute. He was awarded a machine learning research Fellowship as a Visiting Scholar at the Max Planck Institute for Software Systems in Saarbrücken, Germany. Before his PhD in Systems Biology at Harvard, Dinko studied mathematics at Columbia University.