Photo of Danna Gurari

Danna Gurari

Assistant Professor

Specialization(s)

Computer Vision, Crowdsourcing, Applied Machine Learning, Biomedical Image Analysis, Medical Image Analysis

Bio

Danna Gurari is an Assistant Professor in the School of Information at University of Texas at Austin. Her research interests span computer vision, human computation, crowdsourcing, (bio)medical image analysis, and applied machine learning. Dr. Gurari completed her postdoctoral fellowship in the University of Texas at Austin Computer Science department, her PhD in Computer Science at Boston University in 2015, MS in Computer Science at Washington University in St. Louis in 2005, and BS in Biomedical Engineering at Washington University in St. Louis in 2005. She worked in industry for five years, from 2005-2010, at Boulder Imaging and Raytheon. Dr. Gurari received the Researcher Excellence Award from the Boston University computer science department in 2015. She and her collaborators were recognized with the 2017 Honorable Mention Award at CHI, 2014 Best Paper Award for Innovative Idea at MICCAI IMIC, and 2013 Best Paper Award at WACV.

PhD from Boston University computer science department

MS from Washington University in St. Louis computer science department

BS from Washington University in St. Louis biomedical engineering department


Year Semester Course Number Course Title
2019 Spring INF 385T Special Topics in Information Science: Introduction to Machine Learning
2018 Fall INF 385T Special Topics in Information Science: Introduction to Machine Learning
2018 Spring INF 385T Special Topics in Information Science: Introduction to Machine Learning
2017 Fall INF 385T Special Topics in Information Science: Crowdsourcing for Computer Vision
2017 Spring INF 385T Special Topics in Information Science: Crowdsourcing for Computer Vision
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