Danna Gurari is an Assistant Professor and Director of the Image and Video Computing group at University of Colorado Boulder. Her research interests span computer vision, machine learning, human computation, crowdsourcing, human computer interaction, accessibility, and (bio)medical image analysis. Her group focuses on creating computing systems that enable and accelerate the analysis of visual information. Gurari's research has culminated in over 40 (co-)authored publications in top venues spanning computer vision (e.g., CVPR, ECCV, ICCV), accessibility (ASSETS), human computer interaction (CHI), and medical image analysis (MICCAI), and has been recognized with numerous paper awards from these venues. Gurari’s research has been supported by the National Science Foundation, Silicon Valley Community Foundation’s Chan Zuckerberg Initiative, Microsoft, Adobe, and Amazon. Prior to her current position, Gurari completed a postdoctoral fellowship at University of Texas at Austin in computer science, PhD at Boston University in computer science, MS at Washington University in St. Louis in computer science, and BS at Washington University in St. Louis in biomedical engineering. She also held industry positions for five years at two leading technology companies, Raytheon and Boulder Imaging, developing software for satellite systems and building custom, high performance, multi-camera image analysis systems for military, industrial, and academic applications.
I am thrilled to join CU Boulder's students, faculty, and staff to keep pushing the boundary of what we understand to be possible, both in self-growth and innovations that can benefit society at large.
Jesse is a new Assistant Teaching Professor as part of the Western Colorado University and CU Boulder Partnership Program. His background is in machine learning and data science for natural resource management with a specialty in spatial analytics. Before coming to CU he led an undergraduate research team at UT Austin, and before that worked for both private industry and state government. He holds a PhD from the Colorado School of Mines, and a BA from Western Colorado University, both in geology.
I am looking forward to interacting with the partnership students as they progress through the new program and collaborating with other professors to develop courses that prepare students for their careers.
Professor Wu’s primary interests are in temporal databases, the semantic web and data science. Most of his research has been in extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU, he taught algorithms and data structures, programming languages, and database management courses.