Valentina Giansanti

This paper introduces a high-throughput microfluidic platform for organoid culture and multi-omics profiling, demonstrating its utility in clinical and drug discovery settings.

This paper introduces a framework for integrating multiomic single-cell data using Wasserstein GANs, enabling analysis of more than two modalities with reduced computational burden.

This paper introduces a stochastic block model approach for single cell clustering and label transfer, accompanied by a Python library called schist.