Bioconductor conference, 2026

Where Software and Biology Connect

Bioconductor conference, 2026

Current developments within and beyond the Bioconductor project

Bioconductor conference, 2026

Workshops, keynote presentations, and more

The BioC2026 conference will take place in Seattle, WA, Fred Hutchinson Cancer Center

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Mark your calendar

 Bioconductor Mastodon feed
  • November, 2025: Watch for BioC2026 sticker contest details.
  • February, 2026: Registration opens.
  • January, 2026: Sticker Contest Launch
    Unleash your creativity! Submit a design for the official conference sticker.
    Prize: Free conference registration + eternal bragging rights.
  • February 1, 2026: Early Registration & Submissions Open
    Abstract submissions begin for:
    • Short talks
    • Posters
    • Workshops
    Plus: Scholarship applications open.
  • February 20, 2026: Sticker Contest Closes
    Final designs due.
    Winner announced: February 27.
  • March 13, 2026: Abstract Deadline
    Last call for your brilliant research!
  • April 1, 2026: Abstract Decisions Sent
    Check your inbox!
  • April 15, 2026: Scholarship Deadline
    Submit your application to be considered for financial support.
  • June 15, 2026: Early Registration Ends
    Lock in the best rate.
  • July 27, 2026: Registration Closes
    Secure your spot before it's too late.
  • August 10–12 (Monday-Wednesday), 2026: BioC2026
    The BioC2026 conference.
    Three days of learning, collaboration, and community—see you there!

Speakers

Michael Lawrence, Keynote

Scientific Leader | R Core | Tool Builder | Bridging Bio, Code, and Community

Michael Lawrence, Principal Bioinformatics Research Engineer at Freenome, is a researcher in scalable, user-friendly genomic data analysis. With a Ph.D. in Bioinformatics from Iowa State University, he led multiple initiatives at Genentech, including the development of a unified genomic analysis platform. As a core developer of R and a long time contributor to BIoconductor, Michael has helped create a number of packages fundamental to analyzing high-throughput sequencing data and data science in general. https://github.com/lawremi

Ting Ye, Keynote

Assistant Professor, University of Washington

Ting Ye is an Assistant Professor in Biostatistics at the University of Washington. Her research aims to accelerate human health advances through data-driven discovery, development, and delivery of clinical, medical, and scientific breakthroughs, spanning the design and analysis of complex innovative clinical trials, causal inference in biomedical big data, and quantitative medical research. Ting is a recipient of the School of Public Health’s Genentech Endowed Professorship and the NIH Maximizing Investigators’ Research Award (MIRA). https://www.biostat.washington.edu/people/ting-ye

BioC Scholarship Fund

Support the Bioconductor Scholarship Fund to help sustain critical infrastructure, improve documentation, and expand access to our community. Your contribution directly enables conference travel support and training opportunities for researchers who might not otherwise be able to participate.

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