EVENTS

Event Title	AI Workflows for Data Science with Clinical Applications
Location	Brinkhous-Bullitt Bldg., 2nd floor, room 219
Sponsor	NC TraCS (Translational and Clinical Sciences) Institute: NIH CTSA at UNC-CH
Date/Time	04/22/2026 12:00 PM - 1:00 PM

For more information, contact the event administrator: Jennifer Scott jennifer_scott@unc.edu

Event Presenters

Name	Title
John Slankas, PhD	Senior Research Scholar (Laboratory for Analytic Sciences) at NC State University

Join us for an in-person workshop to learn more about AI workflows for data science with clinical applications. Large language models have rapidly moved from novelty to everyday use in teaching, research, software development, and data analysis. This workshop offers a practical framework for understanding and using modern AI systems by distinguishing among standalone large language models, chat agents, and full agents that connect models to tools and execution environments.

In this workshop, you will learn:

Key principles that shape successful outcomes in practice—prompting, context, and longer-term memory
Best practices for working effectively with chat agents
How to describe agent-based software development, focusing on specification-driven workflows that move from brainstorming to specification, planning, execution, and monitoring
Agentic data science, showing how agents can support each phase of the data science lifecycle
How to run agents securely and responsibly

Workshop location: Brinkhous-Bullitt Bldg., 2nd floor, room 219

Workshop outline:

1. Welcome and introduction
a. Key principles of working with modern AI systems

2. Overview of key principles
a. Prompting
b. Context
c. Longer-term memory

3. Best practices
a. Specification-driven workflows
b. Brainstorming
c. Planning
d. Execution
e. Monitoring

4. Survey of agent-based software development

5. Survey of agentic data science

6. Secure and responsible use of agents

No prerequisites

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This workshop is co-sponsored by the Data Science and AI Academy at NC State University and the Informatics and Data Science program at the NC Translational and Clinical Sciences Institute.