AI tools for research are advancing at a pace that often outstrips traditional academic training. These tools are powerful, but using them effectively to produce high quality research is a skill in itself. So how do we use AI to move faster and accelerate biological discovery without sacrificing scientific rigor and our sense of engagement with our work?

We hope to build a community dedicated to keeping up with new tools, sharing ai-augmented research workflows what work well, and staying human in an AI world.

We are launching the Biomedical Gen AI Learning Community!

Open to: Anyone in the UM bioinformatics and biomedical community - researchers, students, and staff.

The Biomedical Gen AI Learning Community is sponsored by the Center for Computational Medicine and Bioinformatics (CCMB)

Join the conversation in our Biomedical Gen AI Slack Channel
When you register or sign up for our mailing list, you’ll automatically be added to the #ccmb-genai-community channel to participate in discussions.

Our Next Session
Date/Time: Tuesday, September 29th, 2-3pm
Topic: "Completing research papers with agentic AI: my summer project"
Speaker: Naoki Masuda, PhD
Location: Medical Science Building 1 (MS1), Room 4B700

Abstract
Over the summer of 2026, I used agentic AI extensively to carry out and submit some computational and applied-mathematical papers myself. In this talk, I will share practical lessons I have learned on iterating with AI, verifying and owning its output, and training students and postdocs when doing becomes cheaper but judgment remains essential.