Generative RNA Design

What is the main goal for this project?
This project explores how artificial intelligence can be applied to accelerate scientific discovery in the field of computational biology. The goal is to develop AI-driven tools that generate and evaluate biological sequences for potential health and research applications, helping advance digital experimentation and innovation in life sciences.

What tasks will learners need to complete to achieve the project goal?

• Prepare and organize biological sequence datasets for model training.
• Support the automation of data processing pipelines for bioinformatics analysis.
• Assist in developing and testing generative models that propose new sequence patterns.
• Help integrate scoring and evaluation metrics into AI model workflows.
• Contribute to building tools for data visualization and experimental feedback.

These tasks give learners a unique opportunity to explore the intersection of AI and life sciences.

How will you support learners in completing the project?
Learners will work closely with mentors specializing in AI and digital health research. They will receive step-by-step guidance through structured sprints, regular check-ins, and collaborative tools. Access to cloud computing environments and prebuilt templates ensures learners gain hands-on experience while working on cutting-edge problems in an interdisciplinary setting.