Open Source AI/ML: A Game Changer for Bioinformatics?

Tired of locked-away algorithms hindering your research? This panel dives into the exciting world of open-source AI/ML for bioinformatics. Join BOSC in a conversation with renowned experts as they explore the potential of open models to revolutionize the field.

Uncover the advantages:

  • Transparency: Gain deeper insights into model training, fostering trust and ethical practices.
  • Collaborative Power: Leverage the collective brilliance of a global community for faster innovation.
  • But is it all sunshine and rainbows?

  • Data Limitations: Open models often rely on publicly available data, which might lack diversity and introduce bias.
  • Resource Constraints: Open-source projects can struggle with funding and computational power, impacting performance.
  • This panel tackles these challenges head-on, offering:

  • Expert Insights: Learn from leading figures in open-source AI/ML bioinformatics.
  • Q&A: Unleash your burning questions about the future of open models.
  • Join us for the final session of BOSC 2024. Don’t miss this chance to explore the potential of open-source AI/ML to propel your bioinformatics research to new heights!

    Panelists will be announced soon!

    Monica Munoz-Torres

    MODERATOR: Monica Munoz-Torres (University of Colorado Anschutz Medical Campus)

    Monica is a Visiting Associate Professor at the University of Colorado. She leads the Standards Core in the BRIDGE Center project of the NIH Bridge to Artificial Intelligence (Bridge2AI) Program, and is the Program Director for the Phenomics First Resource, an NHGRI Center of Excellence in Genomic Science, and for the Monarch Initiative. Monica’s expertise, education, and enthusiasm span genomics, biocuration, knowledge representation, and data harmonization – and the development of software tools and standards to advance these fields. Her major motivations are to leverage the wealth of comparative genomics knowledge to advance our understanding of human health and disease with translational and integrative data science, and to continuously improve on socio-technological practices to build and coordinate research communities. In 2022 Monica was recognized as a Kavli Fellow by the National Academy of Sciences.