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.
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.
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 graduated from FSU’s Department of Art with a MFA and brings experience in that department’s Digital Media Fabrication Lab.
Alex is trailblazing mixed-reality deliveries of specimen-based 3D models in research and education for iDigInfo and iDigBio’s Digitization, Workforce Development, and Citizen Science Domain.
Fritz is part of the iDigBio team delivering Digitization Academy content. He will offer a Spanish-language version of the "Introduction to Biodiversity Specimen Digitization" course in Spring 2023.
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 graduated from FSU’s Department of Art with a MFA and brings experience in that department’s Digital Media Fabrication Lab.
Alexis is part of the iDigBio team and works on several projects.
Former Team
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.
Shubo is part of the iDigBio team developing natural language processing and machine learning methods to recognize descriptions of biotic anomalies in text.
When she's not helping users with data informatics issues, Deb might be found looking for new cuisines to try, new books to read and new travel adventures to add to the todo list. Have you been to Nova Scotia? (Ask her, but only if you really want to know!) Currently she's working on the iDigBio project, since October 2011, and is actively involved in efforts to expand the best practices use of optical character recognition, natural language processing and machine language programming in digitization of museum specimen data as well as helping with the dissemination of best practices for georeferencing this data with workshops, presentations, and the iDigBio wiki website.
Grant is our project development lead, bringing forth many years of software engineering and project management experience to the field.
Michael supports the roll-out of iDigBio’s Digitization Academy, a framework for iDigBio’s professional development activities. He is co-developing the initial offering of the Digitization Academy: the Introduction to Specimen Digitization course. He brings deep experience in large-scale specimen digitization from his project manager position with the Southeast Regional Network of Expertise and Collections and in public engagement in digitization from his work developing Zooniverse’s Notes from Nature.
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
Jeremy earned his BA(Hons) in Typography & Graphic Communication at the University of Reading. He has 15 years of experience in visual design for print and the web. Jeremy is heading up UI design on the MSRC Project. He is also an adjunct professor in the College of College of Visual Arts, Theatre and Dance, where he teaches graphic design and typography.
