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Congratulations to the Winners of our 2022 Grant Program for Scientists and Start-Ups!

25 October 2022by Dana Walsh

We are pleased to announce the 2022 CosmosID North & South America Grant Program Winners! We are awarding a group of three scientists with funding and resources along their journey in the microbiome space. The winners are each receiving 90 samples extracted and sequenced, taxonomic profiling, functional profiling, statistical comparative analysis & a CosmosID-HUB bronze subscription! Each of the three grants is valued at $50,000!

The following winners were chosen from abstracts showing the most innovative ideas in each of three categories:

Academia: Celia Fernandes de Lima, Universidad de Conception, Chile
Abstract title: How does anthropic activity affect the microbiome of the Antarctic Peninsula?
Read more about Dr. Ferndades de Lima and her project.

Trainee: Zachary Gerbec, British Columbia Cancer Research Center, Canada
Abstract title: Defining and targeting the metastasis-specific microbiome to control metastatic breast cancer
Read more about Dr. Gerbec and his project.

Industry: Julia Durack, Symbiome, USA
Abstract title: Unravelling a biogeographical fingerprint of the pre-industrialized human microbiome
Read more about Dr. Durack and her project.

Congratulations to Drs. Fernandes de Lima, Gerbec and Durack, and thank you to all that took the time to apply this year! Stay in touch to hear about future grant opportunities.

If you too want your research and microbiome-related practice to benefit from our grants, here are the terms and conditions.



Dana Walsh

Dana Walsh is a microbiome scientist whose career has consisted of a blend of wet bench and computational research. Currently, she is a Microbiome Scientist for CosmosID where she helps clients with custom microbiome analysis and interpretation as well as exploring new tools and methods for microbiome studies. She applies cutting-edge tools to integrate multi-omics data, including taxonomic, functional, meta-transcriptomics and metabolomics data, in order to help clients derive meaning from their results.