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Single Cell Product Manager,
TileDB
Staff Software Engineer,
TileDB
Principal Software Engineer,
TileDB
As the field of single-cell RNA sequencing continues to evolve, researchers are increasingly interested in using these datasets to train foundational models for a wide range of applications. While training models on smaller datasets that fit into memory is relatively straightforward, scaling up beyond single machines presents significant technical challenges.
How to tackle challenges in training models on massive datasets.
Insights into leveraging large-scale single-cell data for research.
Practical approaches to manage and analyze massive datasets.
TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases designed for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics and, biomedical imaging, as well as the frontier data of the future. Used by science and data teams within big pharma and biotechs to power their multiomics FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug discovery.
Chief Technical Officer