Explore
We’re just getting started — but here’s a glimpse into the kinds of areas we’re curious about at PeerLab AI.
From reproducible research tools to creative applications of machine learning, we explore what matters most to us as builders.
Current Areas of Exploration
- 🧠 Applied machine learning for small and noisy datasets
- 🔁 Reproducibility and modular experimentation workflows
- 🌐 Open-source tools and lightweight AI infrastructure
- 🤝 Student-driven research with collaborative structure
Topics We’re Open To
We treat tutorials, notebooks, and demos as serious outputs. Learning is better when it’s hands-on and shared.
Not everything fits a category yet. This is our home for prototypes, rough drafts, and raw experimentation.
We welcome undergrads to learn by doing — small contributions, guided projects, and skill-building from day one.
MSc students are encouraged to lead short-term, high-impact experiments or contribute to ongoing lab directions.
Open-ended, ambitious topics for PhD-level students who want to push boundaries and experiment beyond publications.