Project Generative AI in Healthcare Supply Chain Management Program DUIRI - Discovery Undergraduate Interdisciplinary Research Internship Term Spring 2025 Status Accepted Research Area Machine Learning, LLMs, Data Science, Operations Research Project Description Description Are you fascinated by the potential of artificial intelligence (AI) to change healthcare supply chain 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, Reinforcement Learning, and Language Models (LLM) to create advanced simulations and conversational AI to improve the efficiency and transparency in medical supply chain management. We are aiming to hire undergrad research assistant, who will be a key contributor to a project focused on developing AI-driven simulations and conversational chatbot to enhance human-AI interaction in the healthcare and medical supply management. The project involves using Generative AI techniques to create virtual agents that mimic real-world interactions among suppliers and hospitals, healthcare scenarios, and patient treatment needs. Supervisor Pengyi Shi Mentor Pengyi Shi Type of work required • 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 ordering behaviors, transportation and ordering decisions, and the impact of under- or over-stock of medical supplies on 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 1 Weekly Hours 10 (estimated)