Center for Data Driven Discovery in Biomedicine
Daniel Miller is a Bioinformatics Engineer responsible for developing software and pipelines to process bioinformatics data. Dan applies existing community standard tools into applications that process raw data into consumable files for end users. He also investigates and assesses the newest bioinformatics software available to the public. Additionally, he quantifies existing software performance and usability for internal use.
Prior to joining D3b in December of 2019, Dan worked as a bioinformatician for the Center for Translational Data Science at the University of Chicago for four years. He was part of the team that launched the Genomic Data Commons (GDC) and was responsible for the pipelines used to process miRNA data. Dan also helped design and maintain the data dictionary, a resource for classifying all clinical and biospecimen data in the GDC.
Dan earned a BS in Biology before completing a MS in Bioinformatics from Johns Hopkins University. He is committed to providing users with the data they need to be better informed about the genetic underpinnings of pediatric cancer. He promotes transparency in an effort to be open about our approach and work with everyone who wants to know how to work with our tools. Overall enable people working in pediatric cancer research to do their best work.