David Gotz

Associate Professor, UNC School of Information and Library Science; Assistant Director, Carolina Health Informatics Program (CHIP)
919/962-3435
gotz@unc.edu
Manning Hall 201
Pronouns: He/Him/His

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Faculty Expertise:

Visualization and visual analytics, data analysis, data science, health informatics

Visual Analysis and Communications Lab (VACLab)

Education: 
BS in Computer Science, Georgia Institute of Technology
MS in Computer Science, University of North Carolina at Chapel Hill
PhD in Computer Science, University of North Carolina at Chapel Hill

Biography: 

Dr. David Gotz is an Associate Professor at the UNC School of Information and Library Science (SILS). He also serves as the Assistant Director for the Carolina Health Informatics Program (CHIP), and is an Associate Member at the UNC Lineberger Comprehensive Cancer Center. 

Dr. Gotz leads the Visual Analysis and Communications Lab (VACLab), where he conducts research related to the study and development of visual methods for information analysis and communication. His work is supported by a variety of public and private funding agencies, including multiple awards from NSF and NIH.

Prior to joining SILS, Dr. Gotz was a research scientist at the T.J. Watson Research Center at IBM Research. In his final years at IBM Research, he was a member of the Healthcare Systems and Analytics Research Department. Before that he spent several years working in the IBM Research Intelligent Information Interaction Department, which he joined immediately after earning his PhD in Computer Science from UNC-Chapel Hill in 2005.

Dr. Gotz earned his MS in Computer Science from UNC-Chapel Hill in 2001, and graduated with highest honors from Georgia Tech in 1999 with a BS in Computer Science and a certificate in Economics. He was named a 2015 Data Fellow by the National Consortium for Data Science.

Courses Regularly Taught: 
​INLS 560: Programming for Information Professionals
​INLS 582: Systems Analysis
​INLS 641: Visual Analytics

Selected Publications, Papers, Presentations

Awards and Recognition:

2017 ACM Computing Reviews Best of Computing Honoree

2016 ACM IUI Best Paper Award

2015 Data Fellow, National Consortium for Data Science

2013 IBM Research Accomplishment Awards

2012 IBM Research Accomplishment Awards

Video content: NCDS DataBytes Webinar Series: David Gotz on effective visual analytics for large-scale temporal event data

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