Project Using Generative AI to Improve Healthcare Operations Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Summer 2026 Status Accepted Research Area Machine Learning, LLMs, Data Science, Operations Research Description Are you fascinated by the potential of artificial intelligence (AI) to change healthcare operations and improve patient outcomes? Do you have a passion for cutting-edge research and innovation? We are seeking enthusiastic and motivated undergraduate research assistants to join our dynamic team in an exciting project that leverages Generative AI and Language Models (LLM) to improve the efficiency and transparency in clinical decision making, decode unstructured textual data, extracting hidden patterns in workforce dynamics—like burnout triggers—that traditional methods miss. Supervisor Pengyi Shi Mentor Type of work required We are aiming to hire an undergrad research assistant, who will be a key contributor to a project focused on developing AI-driven methods to enhance human-AI interaction in the healthcare management. The project involves (i) using Generative AI techniques and LLM to understand real-world interactions among various stakeholders in different healthcare scenarios, and (ii) design innovative optimization methods to reimagine workforce resilience. Your work will directly inform policies that balance operational efficiency with societal benefits, and safeguarding healthcare systems.

Responsibilities:
• Collaborate with our interdisciplinary team to design and develop backend engine and frontend interface using Generative AI and LLM.
• Implement AI algorithms and models to simulate healthcare system performance.
• Collaborate on writing and refining code, documentation, and research papers.
• Contribute creative ideas to improve the accuracy and realism of the simulations. Websites https://web.ics.purdue.edu/~shi178/ Qualifications • GPA 3.85 and above. • Enrolled as an undergraduate student in Computer Science, Engineering, Data Science, or a related field. • Strong programming skills, particularly in Python. • Interest in artificial intelligence, machine learning, and LLM. • Excellent communication skills and ability to work in a collaborative team environment. • Attention to detail and strong problem-solving skills. • Familiarity with LLM and AI techniques is a plus but not required. Credit Hours 0 Weekly Hours 30 (estimated)