Computational Biology meets Data Science (23w5152)


Gabriela Cohen Freue (University of British Columbia)

Robert Gentleman (Harvard Medical School)

Maribel Hernandez-Rosales (Center for Research and Advanced Studies)

(Ozette Technologies)


The Casa Matemática Oaxaca (CMO) will host the “Computational Biology meets Data Science” workshop in Oaxaca, from May 7 - 12, 2023.

Group Photo

With the advances of high-throughput technologies, genomics and related fields are hitting the thick data era. Many problems in biology cannot be studied with traditional and exact methods, and the development and application of tailored methods to analyze rich and large-scale biological datasets are still lagging behind. In addition, diverse layers of knowledge in genomics, such as transcriptomics, epigenomics, proteomics and metabolomics need to be integrated and studied jointly with multi-omics approaches to unfold the complex mechanisms of biological systems and organisms. Sparked with creative solutions from data science, computational and data scientists can contribute to the development and implementation of innovative solutions to extract, wrangle, visualize, analyze and store complex data resulting from high-throughput technologies with efficient, transparent and reproducible analytical pipelines.

The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada’s Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta’s Advanced Education and Technology, and Mexico’s Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT