Explore the world of student research through 7EDU's Computational Biology Project

Class Time :
June 10 - August 13, 2026 | Wednesday and Thursday | 4:00-6:00PM PT
(online group meetings)

Grade Level :
G9-11

In this group research project:

• Gain hands-on experience with biological data and AI tools

• Collaborate with peers and mentors in a research environment

• Develop a research paper and project demo suitable for science fairs or conference submissions

Course Plan (decide one of the following topics in the 1st class after discussion among students):

1. Does AlphaFold Predict Disordered Proteins Worse Than Ordered Ones, And By How Much?

2. Do Viruses That Infect Multiple Host Species Have More Disordered Proteins?

3. Can an Algorithm Identify a Plant? Building a Simple Image-Based Leaf Classifier

4. Reading Your Gut: Analyzing Public Microbiome Data to Compare Healthy vs. Unhealthy Diets

Weekly Milestones Include:

• Literature review and project setup

• Tool use (Python, ColabFold, CRISPR design tools, etc.)

• Visuals (phylogenetic trees, protein structures, ML models)

• Data collection and analysis

• Discussion of results and real-world implications

• Final research paper or demo presentation