Project Generative AI and LLM in Healthcare Operations Program Mitchell E. Daniels, Jr. School of Business Term Academic Year 2024 Status Closed Research Area Machine learning, data science, operations management Description Are you fascinated by the potential of artificial intelligence to revolutionize healthcare and improve patient outcomes? Do you have a passion for cutting-edge research and innovation? We're 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 agent-based simulations for healthcare applications. We are aiming to hire undergrad research assistant, who will be a key contributor to a project focused on developing AI-driven agent-based simulations to enhance patient care and healthcare management. The project involves using Generative AI techniques and LLM to create virtual agents that simulate real-world patient interactions, healthcare scenarios, and treatment protocols. Supervisor Pengyi Shi Mentor Pengyi Shi Type of work required • Collaborate with our interdisciplinary team to design and develop agent-based simulations using Generative AI and LLM.
• Implement AI algorithms and models to simulate patient/doctor/nurse behaviors, healthcare decisions, and treatment outcomes.
• Fine-tune and optimize the simulations based on real-world data and expert input.
• 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 • Enrolled as an undergraduate student in Computer Science, Engineering, Data Science, or a related field. GPA must >= 3.8. • 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 3 Weekly Hours 30 (estimated)