Davide Danovi

The paper presents a genetics-first framework using molecular knowledge to predict phenotypes from rare coding variants in a direct-to-consumer genotype cohort, identifying novel genetic causes for developmental disorders.

The paper introduces CONTAIN, an automated RT-qPCR COVID-19 testing system based on a shipping container, achieving 2400 tests/day using open-source robotics and validated with synthetic and patient samples.

The paper develops an in vitro platform to study fate patterning in hPSCs, revealing Nodal-dependent switches between gastrulation and neurulation-associated gene profiles.

The paper integrates genetic and cell biological data from human iPSC lines to identify intrinsic and extrinsic factors driving inter-individual variability in cell behavior.