Our Mission
Our Vision
Many high school students have the ability to do real computational work, but they don't have access to structure, prompts, datasets, or a community that takes their work seriously.
We're building an environment where students can apply creativity and strong problem-solving to real bio problems in health, genetics, neuroscience, and beyond. Our long-term goal is a national ecosystem of student-led research, innovation, and impact in bio-computation.
Students practice the same loop used in computational biology: define the question, build a baseline, iterate, evaluate, and explain.
- Baselines and comparisons
- Reproducible results
- Clear interpretation
No prior experience required. We provide structured guides and examples so beginners can participate without being overwhelmed.
- Starter templates and checklists
- Basic Python and ML guidance
- Community support
Your output is a clean GitHub repository plus a short summary. It's tangible, reviewable, and easy to share.
- Readable code + README
- Results and plots
- Short, clear explanation
Built by students who understand what it feels like to want opportunities and not know where to start.
- Clear expectations
- Clean submissions
- Practical learning
We focus on the “why” behind the approach, not just raw model performance. Documentation and reasoning matter.
- Baselines and comparisons
- Interpretation of results
- Honest limitations
Beginners are welcome. We provide curated resources and guidance so new students can still build something strong.
- Starter guides
- Templates and examples
- Community support