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

Register for Conference Submit an Abstract

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Mark your calendar

 Bioconductor Mastodon feed
  • November, 2025: Watch for BioC2026 sticker contest details.
  • 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
  • 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!
  • 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

Jeff Leek, Keynote

Chief Data Officer, VP, and Chair of Biostatistics, Fred Hutchinson Cancer Center

Jeff Leek is the Vice President, Chief Data Officer, and J. Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. His work focuses on building tools to help people make sense of massive-scale genomic and biomedical data, with current leadership roles in the Cancer AI Alliance and the Fred Hutch Data Science Lab. Previously a professor at Johns Hopkins Bloomberg School of Public Health, Jeff is a co-founder of the Johns Hopkins Data Science Lab and the popular Simply Statistics blog. He is a recipient of the COPSS Presidents’ Award and was named to the Time AI 100 in 2025. https://jtleek.com/

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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