Make AI for biology, chemistry, and drug discovery less alien in Africa by learning deeply, publishing carefully, and collaborating widely.
Turn a talks-based community into a research-capable community by equipping ourselves with knowledge, finding collaborators, and securing resources.
We began as students who wanted to understand papers that felt far away from our context. Now we want to turn that curiosity into capability.
We started as a student reading group at Makerere because the work at the intersection of AI and the life sciences felt distant and inaccessible. Hosting researchers and discussing their papers gave us context and vocabulary. Now we want to turn that curiosity into capability so African researchers can do this work, not just read about it.
We host researchers and discuss their papers publicly
We collect questions, summarize key ideas, and share notes
We connect interested members to reading lists and resources
Pick 1-2 papers per quarter; reproduce results end-to-end; publish reports
Short, focused modules with weekly exercises and minimal baselines
4-6 weeks to attempt narrow, publishable extensions
Internal peer review to turn results into submissions
Every quarter we pick a talk to replicate end-to-end and publish our reproduction log.
Focused modules with weekly exercises and a minimal baseline to submit.
4-6 weeks to attempt a narrow, publishable extension on an open dataset.
Internal peer review to turn results into concise technical notes.
Whether you're a learner, contributor, or mentor, there's a place for you in our community.
Start with the Skills Track; complete one replication.
Pick a sprint and own a small extension.
Offer clinic sessions, problem briefs, or data/compute support.
