AWS Public Sector Blog
Author: Daniel Burkhardt
Daniel Burkhardt is a machine learning scientist at Cellarity and a core team member of Open Problems in Single-Cell Analysis. He completed his PhD in Genetics in the lab of Smita Krishnaswamy at Yale University where he developed unsupervised learning methods for single-cell data. Away from a keyboard, Daniel loves running, cycling, and tennis.
Driving innovation in single-cell analysis on AWS
Computational biology is undergoing a revolution. However, the analysis of single cells is a hard problem to solve. Standard statistical techniques used in genomic analysis fail to capture the complexity present in single-cell datasets. Open Problems in Single-Cell Analysis is a community-driven effort using AWS to drive the development of novel methods that leverage the power of single-cell data.