Team

Dr. Austin Mast is a Professor in FSU’s Department of Biological Science, Director of FSU’s Robert K. Godfrey Herbarium, and Director of iDigBio’s Digitization, Workforce Development, and Citizen Science Domain. His research interests include biodiversity science, biodiversity informatics, and citizen science.

Dr. Greg Riccardi is a Professor Emeritus in the School of Library and Information Studies at FSU with a research specialization in scientific information management.

Dr. Zhe He is an Associate Professor in the School of Information at College of Communication and Information. He works primarily in the areas of health and biomedical informatics, health data science, natural language processing, and machine learning. He is also directing the eHealth Lab and serving as Informatics Lead at UF-FSU Clinical and Translational Science Award. Zhe is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text.

Dr. Marcia Mardis is a Professor in the College of Communication & Information’s School of Library and Information Studies who works primarily with school library media and children’s youth services students. She is also the Associate Director for the Partnerships Advancing Library Media (PALM) Center. Her research centers on the intersection of learning resources, high speed networking, and digital libraries.

Dr. Gil Nelson is a writer, naturalist, and educator who works in Tallahassee, Florida and lives in southwest Georgia. He writes, speaks, edits, and consults on botany, natural history, ecology, outdoor recreation, and environmental science topics, especially as they relate to Florida and the southeastern United States. Dr. Nelson is participating in research for the iDigBio project.

Erica is a biodiversity information scientist working on the iDigBio project to coordinate existing and create new resources for specimen digitization.

Lauren is iDigBio’s new Workforce Development Manager. She is part of a dynamic and creative team that designs and delivers iDigBio’s professional development offerings for the biodiversity collections community. These offerings, in the form of virtual and face-to-face short courses, form the foundation of the new Digitization Academy. Lauren attended Johns Hopkins University where she obtained a master’s degree in Museum Studies and Digital Curation. She volunteered with the Carnegie Museum of Natural History for five years and interned with the Smithsonian’s National Museum of Natural History. Lauren has a passion for the digitization of natural history collections, museum education, 21st century engagement strategies, and citizen science. Prior to joining iDigBio, Lauren worked in the field of ornamental horticulture and landscape architecture for over two decades. She has a B.S. in Horticulture from Temple University and a master’s degree in Landscape Architecture from Chatham University.

Robert is an application developer working in Drupal and JAVA. He helped architect the Morphbank 3 and 4 systems, and continues to develop software for iDigBio.

Shubo is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text.

Nicole is trailblazing the creation of protocols and best practices for the creation of digital 3D models of organisms and their settings in the field (e.g., in a forest or on a mountaintop) for iDigBio’s Digitization, Workforce Development, and Citizen Science Domain. She is a graduate student in FSU’s Department of Art and brings experience in that department’s Digital Media Fabrication Lab.

Alex is trailblazing the creation of protocols and best practices for the creation of digital 3D models of organisms and their settings in the field (e.g., in a forest or on a mountaintop) for iDigBio’s Digitization, Workforce Development, and Citizen Science Domain. He is a graduate student in FSU’s Department of Art and brings experience in that department’s Digital Media Fabrication Lab.

Sophia is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text.

Ashley is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text.

Allyson is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text