Associate Director of Outreach and Communications in the Data Sciences Platform

Geraldine Van der Auwera directs outreach and communication efforts to the global scientific research community on behalf of the Data Sciences Platform (DSP) at the Broad Institute. Her team's efforts include technical support, documentation, social media presence and user education events for users of software produced in DSP. This includes GATK, the Broad's industry- leading toolkit for variant discovery analysis; Cromwell/WDL, an increasingly popular open- source pipelining solution; and FireCloud/Workbench, a cloud-based analysis platform that integrates computational resources, methods repository and data management in a secure and user-friendly environment.

Director of Data Strategy and Alliances, Broad Institute

Danielle is passionate about sharing data in healthcare. A data architect turned strategist, she leads Strategy and Partnerships for Broad Institute’s Data Sciences Platform team. She facilitates the creation of software, operating services, and collaborations that maximize impact of data science on the biomedical ecosystem.

Prior to working at Broad Institute, Danielle designed, built and grew the largest integrated real-world database of clinical and claims data for Optum (UnitedHealth Group). She has wide industry perspective from roles serving Provider, Payer and Life Sciences markets.

Danielle graduated with a Bachelor in Biomedical Engineering from Case Western Reserve University (Ohio, USA), beginning her career in interface and interoperability design for large provider health systems.

Software Developer in the Data Sciences Platform

Khalid Shakir has contributed to a number of pipeline automation projects at the Broad Institute, including working in both the GATK and the Cromwell/WDL teams. His expertise covers both public and private cloud infrastructures, while optimizing analysis pipelines for heterogeneous compute environments. Inspired by the experience of working with other data scientists, Khalid is currently finishing a Master’s Degree with a concentration in Biotechnology.

Computational Biologist, Data Sciences and Data Engineering department

Steve joined the DSDE methods team in Dec. 2015, working primarily on developing scalable algorithms for detecting and interpreting structural variants--including insertions, deletions, duplications, inversions, and complex variants involving all aforementioned types--from whole genome sequencing data in GATK-4. Along the way, he also provides volunteer services for htsjdk and Picard when feasible. Before joining the genomics community, Steve used to conduct research on inflation in early cosmology.

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