Dr. Yao: Applying AI & Large Language Models in Bioinformatics Database & Websites

School of Computing
Faculty Advisor
Qiuming Yao
Contact Email qyao3@unl.edu
Website
Advisor College:
Engineering
Potential Student Tasks

Apply language models such as GPT.
Program and automate the process by python.
Visualization work based on website or database.
Student Qualifications

Open to any students interested in Science, Computing, and Data analysis.
Python programming skills are preferred, but can be learnt quickly if you are a quick learner.
Although the work can be remote, students should have sufficient committed time and effort to be a responsible lab member.

Students from all domains are welcomed. We encourage those who are open-minded in science and curious in technology to join us. We encourage busy and distracted students to set up a good plan and schedule before joining the lab.
Training, Mentoring, and Workplace Community

If the students turn out to be interested in bioinformatics and data analysis by the end of FYRE program, the mentor will help the student to develop a long term career plan with deeper research experience. Students and the mentor can also opt out of the long term relationship if FYRE does not work out well.
Available Positions
3

Bioinformatics is an interdisciplinary area applying computer science on biological data analysis to understand the genomes and functions in the life science domain.

This project explores the integration of artificial intelligence and large language models (LLMs, such as ChatGPT) into bioinformatics databases and web platforms to enhance data accessibility, querying, and user interaction. By leveraging LLMs for natural language processing and intelligent search, the project aims to improve the usability, scalability, and analytical capabilities of online bioinformatics resources.