Members
Our team brings together researchers from diverse disciplines, including data visualization, computer science, design, and the social sciences. This interdisciplinary perspective allows us to approach complex data and uncertainty from multiple angles.
Carmen Garro
Carmen is a research associate at viu:lab. She holds a Bachelor’s degree in Statistics from the University of Costa Rica and a Master’s in Data Science for Public Policy from the Hertie School in Berlin. Her work bridges quantitative methods, governance, and communication, with experience at institutions such as Transparency International, Brown University, and the United Nations.
Carmen Garro
Carmen is a research associate at viu:lab. She holds a Bachelor’s degree in Statistics from the University of Costa Rica and a Master’s in Data Science for Public Policy from the Hertie School in Berlin. Her work bridges quantitative methods, governance, and communication, with experience at institutions such as Transparency International, Brown University, and the United Nations.
Paula Mennerich
Paula is a research associate at viu:lab. She holds a Bachelor’s degree in Media and Communication from HAW Hamburg. Her work focuses on the intersection of creativity, science, and visual communication. With a strong affinity for design and storytelling, Paula combines aesthetic sensibility with a research-driven approach to make complex information more understandable and accessible.
Paula Mennerich
Paula is a research associate at viu:lab. She holds a Bachelor’s degree in Media and Communication from HAW Hamburg. Her work focuses on the intersection of creativity, science, and visual communication. With a strong affinity for design and storytelling, Paula combines aesthetic sensibility with a research-driven approach to make complex information more understandable and accessible.
Anni Wisbar
Anni is a research associate at viu:lab. She holds a Master’s degree in Geomatics and has gained experience in both the private sector and academia. Her passion for creativity and aesthetics is matched by a strong affinity for logic, data, and maps. Through data visualization and coding, she brings these interests together to explore new ways of making complex information accessible and engaging.
Anni Wisbar
Anni is a research associate at viu:lab. She holds a Master’s degree in Geomatics and has gained experience in both the private sector and academia. Her passion for creativity and aesthetics is matched by a strong affinity for logic, data, and maps. Through data visualization and coding, she brings these interests together to explore new ways of making complex information accessible and engaging.
Christoph Kinkeldey
Christoph is Head of the viu:lab research group and Professor of Media Informatics and Data Visualization at HAW Hamburg. He holds a PhD in geoinformatics with a specialization in uncertainty visualization. His current research lies at the intersection of interactive data visualization and data journalism, exploring how visual methods can help people understand, navigate, and make informed decisions in the face of uncertainty.
Christoph Kinkeldey
Christoph is Head of the viu:lab research group and Professor of Media Informatics and Data Visualization at HAW Hamburg. He holds a PhD in geoinformatics with a specialization in uncertainty visualization. His current research lies at the intersection of interactive data visualization and data journalism, exploring how visual methods can help people understand, navigate, and make informed decisions in the face of uncertainty.