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Faculty
Nur Yildirim
Assistant Professor of Data Science
School of Data Science
Additional Contact Information
Office: 1919 Ivy Rd., Rm. 331
Pronouns: She/her
Nur Yildirim is an assistant professor of data science at the University of Virginia. Her research program focuses on developing human-centered and participatory approaches throughout the AI development lifecycle to successfully translate these technologies into products and services that benefit people and society. Building on this practice-based research, she aims to create best practices and expertise to support practitioners in AI design, development, and evaluation. Previously, she worked at Google Research and Microsoft Research, where she contributed to designing several AI applications in healthcare. She is the recipient of a Digital Health Fellowship from the Center for Machine Learning and Health and was named an AI Rising Star by the Michigan AI Lab in 2023.
Yildirim holds a Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and master’s and bachelor’s degrees in industrial design from Middle East Technical University. Before Carnegie Mellon, she worked as a design consultant in the industry, shipping award-winning products ranging from medical to consumer electronics, assistive robots, and toys.
Education
- 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
Selected Publications
Nur Yildirim, Hannah Richardson, Teo Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew Lungren, Javier Alvarez-Valle, Aditya Nori, Anja Thieme. (2024). Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology: https://dl.acm.org/doi/full/10.1145/3613904.3642013
Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy Kahn, Leigh Bukowski, Sher Shah Amin, Kathryn Riman, Billie Davis, John Minturn, Andrew King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Preum, James McCann, John Zimmerman. (2024). Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit: https://dl.acm.org/doi/full/10.1145/3613904.3641896
Nur Yildirim, Susanna Zlotnikov, Aradhana Venkat, Gursimran Chawla, Jennifer Kim, Leigh Bukowski, Jeremy Kahn, James McCann, John Zimmerman. (2024). Investigating Why Clinicians Deviate from Standards of Care: Liberating Patients from Mechanical Ventilation in the ICU: https://dl.acm.org/doi/10.1145/3613904.3641982
Nur Yildirim, Changhoon Oh, Deniz Sayar, Kayla Brand, Supritha Challa, Violet Turri, Nina Crosby Walton, Anna Elise Wong, Jodi Forlizzi, James McCann, John Zimmerman. Creating Design Resources to Scaffold the Ideation of AI Concepts: https://dl.acm.org/doi/abs/10.1145/3563657.3596058
Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda Viégas. (2023). Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook: https://dl.acm.org/doi/full/10.1145/3544548.3580900
Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Kenneth Holstein, Michael Madaio. (2023). Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice: https://dl.acm.org/doi/abs/10.1145/3593013.3594037
Nur Yildirim, Alex Kass, Teresa Tung, Connor Upton, Donnacha Costello, Robert Giusti, Sinem Lacin, Sara Lovic, James O’Neill, Rudi O’Reilly Meehan, Eoin Ó Loideáin, Azzurra Pini, Medb Corcoran, Jeremiah Hayes, Diarmuid Cahalane, Gaurav Shivhare, Luigi Castoro, Giovanni Caruso, Changhoon Oh, James McCann, Jodi Forlizzi, John Zimmerman. (2022). How Experienced Designers of Enterprise Applications Engage AI as a Design Material: https://dl.acm.org/doi/abs/10.1145/3491102.3517491
Nur Yildirim, John Zimmerman, Sarah Preum. (2021). Technical Feasibility, Financial Viability, and Clinician Acceptance: On the many challenges to AI in Clinical Practice: https://ceur-ws.org/Vol-3068/short5.pdf
Nur Yildirim, James McCann, John Zimmerman. (2020). Digital Fabrication Tools at Work: Probing Professionals’ Current Needs and Desired Futures: https://dl.acm.org/doi/10.1145/3313831.3376621