Zizhan Zheng, Computer Science
This project explores how large language models (LLMs) and generative AI can support and transform biological research. We focus on developing LLM-powered tools and AI agents to assist with key tasks such as data preprocessing, integration, analysis, reasoning, and scientific decision-making in biological studies.
Opportunities for contributing to novel research findings and potential co-authorship on publications.
Time, eligibility, and other details
| Expected workload | Flexible; to be determined based on student availability |
| Skills required | Basic programming skills (e.g., Python); experience or strong interest in AI and machine learning; background in biology preferred but not required |
| Who is eligible | Tulane undergraduate and Master’s students |
| Core partners | Dr. Wu-Min Deng’s group at Tulane School of Medicine |
| Sponsoring party | Faculty |
| Volunteer, Paid, or Credit-eligible? | Volunteer/Credit-Eligible |
| Forms Required | CV |
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