The conference started with workshops and tutorials, along with the ISCB Student Council Symposium. I was excited (and a little nervous!) to help organize and lead a tutorial on Mendelian Randomization (MR), together with two colleagues from my group. We had around 17 participants from different backgrounds and career stages join us for an interactive session on causal inference. We covered key assumptions, common pitfalls like pleiotropy, and hands-on examples in R. It was really rewarding to see people engage, ask questions, and reflect on how these methods might apply to their own work. If you are interested, you can find the tutorial slides and other information here:
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