معرفی
Nur Yildirim is an Assistant Professor of Data Science at the University of Virginia's School of Data Science, where she conducts research at the intersection of artificial intelligence, human-computer interaction, and design. Her work emphasizes human-centered and participatory approaches to AI development, aiming to translate AI technologies into beneficial real-world products and services.
Her educational background includes:
- Ph.D. in Human-Computer Interaction, Carnegie Mellon University
- M.S. in Industrial Design, Middle East Technical University
- B.ID. in Industrial Design, Middle East Technical University
Nur Yildirim's research focuses on improving AI design, development, and evaluation through practice-based methods. She integrates insights from industrial design and user experience to create more inclusive and socially beneficial AI systems. Her work particularly targets applications in healthcare, where AI must be both technically robust and ethically sound.
Her previous roles at Google Research and Microsoft Research involved designing AI applications in healthcare, giving her deep industry experience. She aims to establish best practices for practitioners in the AI field, supporting responsible innovation.
Notable recognitions include:
- Digital Health Fellowship from the Center for Machine Learning and Health
- AI Rising Star by the Michigan AI Lab (2023)
Nur Yildirim has extensive experience bridging academic research and industry practice. Before her Ph.D., she worked as a design consultant, shipping award-winning products in medical devices, consumer electronics, assistive robotics, and toys. This practical background informs her translational research approach. While no formal advising or grant history is detailed, her fellowship suggests active research funding. She is building a research program that connects design thinking with data science to create impactful technologies.
