We will leverage and extend large language models and ChatGPT or GPT-3 technologies to retrieve, appraise and synthesize clinical evidence for patients and clinicians. Students with strong background in large language models and natural language processing will be preferred. We will be working closely with clinicians to fine tune the methods.

Selected candidate(s) can receive a stipend directly from the faculty advisor. This is not a guarantee of payment, and the total amount is subject to available funding.

Faculty Advisor

  • Professor: Chunhua Weng
  • Center/Lab: Biomedical Informatics
  • The Weng Lab is focused on developing informatics and data science methods to improve the efficiency and reliability of clinical trial research.

Project Timeline

  • Earliest starting date: 4/1/2023
  • End date: 8/31/2023
  • Number of hours per week of research expected during Spring-Summer 2023: ~20

Candidate requirements

  • Skill sets: Statistical Natural Language Processing, Machine Learning, Large Language Models
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes