Project Generative AI in Healthcare Supply Chain Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Fall 2025 Status Accepted Research Area Global Health 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 create advanced conversational AI to improve the efficiency and transparency in medical supply chain management, decode unstructured textual data from surveys, 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 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 and medical supply management. The project involves (i) using Generative AI techniques and LLM to create virtual agents that mimic real-world interactions among suppliers and hospitals, 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 supply chain and medical system performance and individual patient outcomes.
• Fine-tune and optimize LLMs based on real-world data and expert input; provide interpretable decision support.
• 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 agent-based modeling or AI techniques is a plus but not required. Credit Hours 0 Weekly Hours 10 (estimated)