'Dan is a Data Scientist in the Data Science Colab who also works with the UCSF Data Library development team. He did his PhD in Biomedical Sciences at UCSF, in which he gained experience with transcritomics data, and with developing tools to help visualize and analyze these data. His current research projects involve using various single cell-resolution assays to study immune correlates of in-utero infection and pre-term birth, while his Data Library development work focuses on improving data analysis and data exploration capabilities of the library.