Geraldine Van der Auwera
Geraldine Van der Auwera is a seasoned bioinformatics scientist and expert communicator in the genomic research community. Currently, she serves as the Lead Developer Advocate at Seqera since October 2023, based in Boston, Massachusetts. In this role, Geraldine utilizes her extensive experience in outreach, stakeholder management, and scientific communication to advance Seqera's mission and engage with the developer community.
Prior to joining Seqera, she operated as an Independent Consultant at G4Genomics, where she leveraged her expertise in genomic software and community engagement. Geraldine's significant tenure at the Broad Institute of MIT and Harvard, spanning nearly eleven years, saw her ascend from a managerial role in outreach and communications to Director of Outreach and Communications. There, she was instrumental in directing communication efforts for the Data Sciences Platform, educating and supporting researchers utilizing key software tools like GATK, the Cromwell/WDL workflow management system, and Terra.bio.
Geraldine's academic foundation was solidified through a distinguished appointment as an FNRS Postdoctoral Fellow at Université catholique de Louvain in Belgium. Here, she conducted pivotal research on microbial genome datasets, significantly contributing to the field with innovative bioinformatics tools and methodologies. Her efforts not only bolstered genomic studies but also facilitated their application across various scientific disciplines, including medicine and agriculture.
Her educational background and early career were marked by significant research engagements, including a Visiting Scientist stint at MIT and a Postdoctoral Fellowship at Harvard Medical School, further enriching her experience and expertise in genomic analysis.
Geraldine's skills in communication, leadership, and expert advisory roles, combined with a robust track record in bioinformatics and genomic research, make her a valuable leader and advocate in the scientific community.
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20-Jun-2024Salon AData Analysis Pipelines: Achieving Reproducibility and Reducing Cloud Costs