Where Bioinformatics Meets Innovation
Join researchers, practitioners, and curious minds exploring the intersection of computational biology and artificial intelligence through hands-on workshops and meaningful conversations.
Coming Up in 2026
Genomic Data Processing Workshop
Hands-on session working with real sequencing data. We'll walk through quality control, alignment pipelines, and variant calling using open-source tools. Bring your laptop and questions.
Get DetailsMachine Learning for Protein Structure
Looking at how neural networks help predict protein folding patterns. We'll discuss recent developments in the field and what they mean for drug discovery research.
Get DetailsRNA-Seq Analysis Bootcamp
Three-hour intensive covering differential expression analysis. Perfect if you've got RNA sequencing data sitting around and aren't quite sure what to do with it.
Get Details
Annual Taiwan Bioinformatics Symposium
March 28-29, 2026Two days dedicated to what's actually working in computational biology right now. No fluff, just practical insights from people doing the work.
We're bringing together folks from academic labs, biotech companies, and clinical research settings. The goal? Share approaches that might help someone else solve a problem they've been stuck on.
Last year's symposium featured 47 presentations and demos. The hallway conversations turned out to be just as valuable as the scheduled sessions.
This year we're focusing more on interactive sessions. Less talking at people, more working through challenges together. Sessions cover everything from cloud computing for large datasets to ethical considerations in AI-driven diagnostics.
Register Your InterestMeet Some Speakers
Each event features practitioners who've spent years figuring out what actually works. They're here to share lessons learned, not just success stories.
Dr. Linnea Bergström
Spent the last eight years building pipelines for cancer genomics research. She'll walk you through what breaks, what scales, and what keeps her up at night.
Dr. Maeve O'Sullivan
Designs infrastructure for multi-omics data integration. Her approach to handling terabyte-scale datasets has influenced several major research initiatives across Asia.