I am a spatial data scientist, with research cutting across geographic information retrieval, machine learning, geovisualization, and visual analytics. My research primarily focuses on method development, spanning various domains including social media analytics, sea ice mapping, crisis management, situational awareness, precision agriculture, and digital humanities. A large portion of my research has focused on incorporating spatiotemporal relationships in machine learning and visual analytics. While computational, my approach is human-centered, from visual/system design to algorithm integration and evaluation, to domain deployment and field studies. My visualization-related work focuses on visual analytics for human-in-the-loop machine learning aiming to (1) develop flexible, performant computational methods leveraging human expertise, and (2) helping users understand machine learning methods output/biases when applied to geospatial data.
keywords
spatial data Science, machine learning, geographic Information Retrieval, geovisualization, geographic information science, geovisualization, visual analytics, geo-text analytics, geoparsing, geocoding, geographic natural language processing, spatial analysis, human-computer interaction, huma-in-the-loop machine learning, human-centered AI
GEOG 3023 - Statistics for Geography
Primary Instructor
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Fall 2019 / Spring 2020 / Spring 2021
Introduces computational and statistical tools to solve problems in the geographic domain. Provides an understanding of introductory statistical concepts and applies them to real world problems through lab exercises. Emphasizes spatial data, which requires specialized descriptive and predictive analysis techniques. Demonstrates how to manipulate and visualize data, and make inference using state-of-the art statistics software, applied to various social and earth science problems. Same as GEOL 3023.
GEOG 4003 - Topics in Geographic Skills
Primary Instructor
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Fall 2020 / Fall 2021
Examines various topics in geographical skills and techniques that are not typically covered in the curriculum. Offered intermittently depending on student demand and availability of instructors.
GEOG 4043 - Advanced Geovisualization and Web Mapping
Primary Instructor
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Fall 2021
Advanced technical course in web-based cartography and geovisualization stressing the important role digital cartography plays in cyberspace and society. Focuses on principles of effective cartographic design in multimedia and hypertext environments. Labs are organized around hands-on active learning projects demonstrating skills in geovisualization and cartographic practice. Same as GEOG 5043.
GEOG 4203 - Geographic Information Science: Spatial Modeling
Primary Instructor
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Fall 2020
Focuses on the use and development of advanced models for human and environmental applications in a geospatial environment integrating raster and vector data models. Covers terrain and hydrologic modeling, geostatistical modeling, dasymetric modeling, as well as multi-criteria modeling. Group projects critically design, implement and test spatial models to develop independent skillsets in a chosen problem setting. Recommended requisite: working knowledge of GIS software. Same as GEOG 5203.
GEOG 5043 - Advanced Geovisualization and Web Mapping
Primary Instructor
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Fall 2021
Advanced technical course in web-based cartography and geovisualization stressing the important role digital cartography plays in cyberspace and society. Focuses on principles of effective cartographic design in multimedia and hypertext environments. Labs are organized around hands-on active learning projects demonstrating skills in geovisualization and cartographic practice. Same as GEOG 4043.
GEOG 5100 - Special Topics: Geography
Primary Instructor
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Fall 2020 / Fall 2021
Covers various topics outside of the normal curriculum; offered intermittently depending on student demand and availability of faculty. May be repeated up to 9 total credit hours.
GEOG 5203 - Geographic Information Science: Modeling Applications
Primary Instructor
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Fall 2020
Focuses on the use and development of advanced models for human and environmental applications in a geospatial environment integrating raster and vector data models. Covers terrain and hydrologic modeling, geostatistical modeling, dasymetric modeling, as well as multi-criteria modeling. Group projects critically design, implement and test spatial models to develop independent skillsets in a chosen problem setting. Recommended prerequisite: GEOG 4103 or GEOG 5103 or working knowledge of GIS software or instructor consent required. Same as GEOG 4203.
