Wednesday, July 22, 2026
11 a.m. to 12 p.m. Central Time
Johns Hopkins University Vibe Coding Sessions
Hosted by AIM-AHEAD and Johns Hopkins University
Topic: AI-assisted approaches to research, innovation, and problem-solving
We are excited to announce an upcoming two-part Vibe Coding Series designed to help participants explore practical, AI-assisted approaches to research, innovation, and problem-solving.
As generative AI tools continue to evolve, researchers, educators, clinicians, and community leaders are finding new ways to turn ideas into working prototypes, automate routine tasks, analyze information, and create impactful solutions using natural language rather than traditional programming alone. These sessions will provide a hands-on introduction to these emerging workflows, with demonstrations and examples that are accessible to participants across a wide range of technical backgrounds.
Whether you are interested in research, education, healthcare, workforce development, or community engagement, this series will offer practical strategies for leveraging AI tools to increase productivity, accelerate innovation, and support your work.
We look forward to learning with you and exploring the next generation of human-AI collaboration together.
Related links
Program for Artificial Intelligence Readiness
AI Optimization Subcore Office Hours and Discussion Forum
Dr. Huang, an Assistant Professor of University of Pennsylvania Perelman School of Medicine Pathology and Laboratory Medicine, will discuss the critical role of building an integrated ecosystem for medical imaging and demonstrate how AI can assist pathologists to enhance diagnostic accuracy and efficiency through multiple AI algorithm development efforts.
AIM-AHEAD Data Bridge Data Navigator Sessions
This dedicated office hour is designed to help AIM-AHEAD researchers and collaborators make the most of the AADB Data Bridge and MedStar’s pre-curated and custom-curated EHR datasets.
AIM-AHEAD Data Bridge Data Navigator Sessions
This dedicated office hour is designed to help AIM-AHEAD researchers and collaborators make the most of the AADB Data Bridge and MedStar’s pre-curated and custom-curated EHR datasets.