Meet Our 2026 Contest Judges

Interested in volunteering as a judge? Follow  this link to apply.

Dani Ruffe
Senior Geospatial Associate, RWE

Dani Ruffe is a Senior Geospatial Associate at RWE, where she develops maps and applications to advance clean energy technology. She manages the Energy Atlas, a centralized geospatial hub, and specializes in streamlining GIS workflows to support the renewable energy project lifecycle. She holds a Master’s in Geography from the University of Texas at Austin and previously led two distinct geospatial initiatives with NASA. Her work included managing interdisciplinary teams to assess climate change impacts and co-developing a wildfire analysis tool using satellite sensor data. With a professional background spanning enterprise GIS, public-sector training, and remote sensing research, she brings a rigorous technical perspective to evaluating methodological excellence, innovative automation, and effective cartographic design.

Mayowa Jimoh
Geologist 3, CDM Smith

Mayowa Jimoh is a Hydrogeologist and Geospatial Data Scientist with nearly a decade of experience in environmental hydrogeology and GIS analysis. She currently serves as a Geologist 3 at CDM Smith, supporting the City of Delray Beach’s $287M Nanofiltration Water Treatment Plant and Class I Deep Injection Well System using advanced hydrogeologic monitoring and geospatial technologies. She holds a Master of Science in Geosciences (Water Science Specialization) from Georgia State University, a Bachelor of Science in Geophysics from the University of Lagos, and a Geographic Information Science Certificate. She has authored seven peer-reviewed publications spanning hydrogeology, GIS, remote sensing, and geospatial analytics, and has served as a peer reviewer for international scientific journals. Her GIS expertise includes ArcGIS, spatial data analysis, remote sensing, flood hazard mapping, and geospatial decision-support systems for water resource management and environmental protection.

Fuzhen Yin
Assistant Professor of GIScience, University of Colorado Colorado Springs

Dr. Yin’s is an interdisciplinary scholar with an educational background in Spatial Data Science, Urban Planning, and Landscape Architecture. Her research explores the social and environmental impacts of technological advancement, such as artificial intelligence (AI) and information and communication technologies (ICTs) with respect to citizen empowerment and community resilience in the age of uncertainty. Her areas of expertise relate to applying advanced analytics, including agent-based modeling (ABM), geographic information systems (GIS), artificial intelligence (AI) and social network analysis (SNA) to understand complex systems and assist decision-makers to create effective and socially responsible policies related to public health, disaster response, housing, and food system planning.

Atlas Guo
Ph.D. Candidate in Cartography/GIS & Student Cartographer, University of Wisconsin-Madison

Atlas Guo is a Ph.D. candidate in Cartography and GIS at the University of Wisconsin–Madison, where he is affiliated with the Spatial Computing and Data Mining Lab and the UW Cartography Lab. His research focuses on geospatial data mining and visualization for natural disaster management. He has previously interned at Apple Maps, the United Nations Development Programme, and the Institute for Local Self-Reliance. Grounded in GIS and geospatial data science, his professional work has increasingly focused on cartographic design and spatial storytelling. His cartographic practice spans multivariate hazard mapping, global climate visualization, terrain-based reference mapping, trajectory visualization, LEGO-style map design, and personalized spatial storytelling. His work has received more than 70 recognitions, including awards from CaGIS, ICA, NACIS, BCS, Esri, and WLIA, and has been featured in publications such as Atlas of Design, Esri Map Book, and ArcUser, as well as covered by approximately 20 media outlets. As a self-described “Map Evangelist,” he actively shares his creative mapping projects on his personal website, CartoGuophy.com.

Lauren Hendricks
Senior GIS Analyst – Natural Resources Stewardship, Jefferson County Parks & Open Space

Lauren Hendricks is Senior GIS Analyst – Natural Resources Stewardship at Jefferson County Parks & Open Space. Much of her current work focuses on using spatial data in ecology, bridging the gap between field-collected data and complex geospatial analysis to support the conservation and stewardship of Jefferson County’s natural landscapes. Her foundation in high-level cartography was established at the University of Oregon, where she earned a PhD in Geography and a MS in Environmental Studies. While at UO, she worked as a Graduate Student Cartographer at the Infographics Lab and contributed to award-winning projects that pushed the boundaries of geospatial storytelling, including the atlas Wild Migrations. She also served as the teaching assistant for Advanced Cartography, leading labs for senior-level students and evaluating work based on technical execution, design logic, and communication efficacy. This dual experience in both the production and critique of maps allows her to bring a nuanced, expert eye to the evaluation of modern cartographic design.

Wei Liu
GIS Analyst, City of Atlanta (GA)

Wei Liu is a GIS professional with over three years of experience in web map development, spatiotemporal analysis, geodatabase management, and cartographic design. She currently serves as a GIS Analyst at the City of Atlanta Department of City Planning, where she supports planning initiatives through data-driven analysis and interactive map design. Her work integrates front-end development with geospatial analytics, applying methods such as spatial statistics, remote sensing, and GeoAI using JavaScript, Python, R, and ArcGIS products. Prior to this role, she was a Senior Research Support Specialist at the Research Foundation for the State University of New York. She has a strong interest in cartographic clarity and effective visual communication, focusing on the use of maps to support data-informed decisions and improve community well-being.