💬 Tell me in the poll which automation you’d love to try first.The top choice will be our next free workflow, fully open and customizable by you. Let’s automate the future of science, one workflow at a time ⚙️✨ P.s. Poll closes on Nov 10

Hey everyone! I'm Muhammet Yılmazer from Istanbul. I studied Molecular Biology and Genetics, but right now I'm really diving into bioinformatics. I'm constantly working on improving my skills because I want to build my whole career around it. I joined this group to connect with people who share the same interests, learn from each other, and just chat about this stuff. Super happy to be here and looking forward to getting to know you all

Hi all! I am a senior technical product leader and AI/ML pragmatist, with deep experience building AI/ML‑driven platforms and leading engineering teams in the biotech and technology space. My work spans multiple industries and company stages, from early-stage teams (3 people) to mid-sized organizations (500 people), with a consistent focus on turning fragmented, manual data processes into reliable, scalable platforms for insight and decision-making. I have held pivotal roles across the industry, most recently serving as a Senior Technical Product Manager at AbCellera Inc. and BenchSci, where I shaped product strategy for machine learning platforms used by scientists, data scientists, bioinformaticians, engineers, and non-scientists alike. My work centers on translating complex ML capabilities into intuitive, high‑impact tools that accelerate research workflows and improve scientific decision‑making. Before my product leadership roles, I served as the Director of Software Development and Data Informatics at Zymeworks (I was the 3rd employee), where I led cross‑functional engineering teams responsible for building computational biology tools, data analytics infrastructure, and internal platforms supporting antibody engineering and therapeutic design. In my current role as Founder and Principal Advisor at Crux Intelligence, I help organizations build foundations that make advanced analytics and AI possible, including: - End-to-end data engineering platforms (ingestion, transformation, storage, and analytics) - Data governance and operating models that support trust, compliance, and reuse - Analytics and reporting systems that replace manual, error-prone workflows - ML and AI systems that build on well-engineered data Great to meet you all, and to be a part of this forum.

The template you've been asking for is finally here. Head to the Classroom right now and grab the Variants Annotation Workflow. What it does: Drop your genetic variants into a Google Sheet. The n8n workflow automatically queries: - ClinVar (pathogenicity) - PubMed (research papers) - dbSNP (variant IDs) - UniProt (protein function) - gnomAD (population frequency) Everything comes back annotated. Ready to analyze. This is for you if: - You've downloaded your 23andMe/MyHeritage raw data and have no idea what it means - You're a researcher tired of manual database queries - You want to see bioautomation in action Demo video included so you can see exactly how it works before you set it up. No bioinformatics background needed. Just import the template and follow the setup guide. 👉 Go to Course Room → Variants Annotation Workflows → Download Template Questions? Drop them below.

Just added a new lesson to the Discovery Engine course showing how to build an AI agent that queries the Open Targets Platform using natural language. What you'll learn: - Setting up an n8n AI agent with GraphQL tools - Querying gene-disease associations conversationally - Integrating Open Targets + PubMed in one workflow - Handling complex multi-step research questions 2-minute demo video shows the agent finding top Parkinson's genes, checking drug status, retrieving pathways, and pulling recent research papers - all from natural language questions. Includes: - Complete n8n workflow template (import-ready) - System prompt with Open Targets GraphQL schema - Setup guide + troubleshooting Check it out in Classroom → Discovery Engine → TalkToOpenTargets lesson. Questions? Drop them below