Contact Information
Please feel free to contact me if you are interested in collaborating! If you are a student and are interested in working with me or just want to chat about undergraduate research opportunities - definitely reach out!
The best way to contact me is via email. My preferred email address is my gmail: ShellyLeeGaynor at gmail.com. My institutional email addresses are: MichelleGaynor at ufl.edu and mlgaynor at umich.edu.
Software Roundup
Throughout my website, there are many links to various software, teaching material, and tools that I have contributed too. For simplicity, here is a round up of these resources.
Software:
- nQuack: An R package for predicting ploidy level from sequence data using site-based heterozygosity. (Also available on GitHub)
- nQuack-AI: A data-based approach for predicting ploidy level from sequence data. Coming Soon! If you have sequence data with known ploidal level, please reach out!
- AutoPop: R-based autopolyploid population simulations (Also available on GitHub)
- gatoRs: Geographic and Taxonomic Occurrence R-Based Scrubbing R package (Also available on CRAN and GitHub)
- Maximum likelihood based ancestral reconstruction. Available on GitHub: utremi & PaleoGenerate.
- ridigbio: An R package to access iDigBio. (Also available on GitHub)
- Biology PhD Stipends: A database and shiny app for Biology Ph.D. stipend benchmarking (Also available on GitHub)
Teaching Material:
- Biodiversity Resource Round-up
- Using Digitized Collections-Based Data in Research, Botany 2020, 2021, 2022, 2023, and 2025
- Using R for Digitized Natural History Collections (dNHC) in Research, BCEENET 2021 Virtual Meeting
- Introduction to R with Biodiversity Data, QUBES Educational Resources (Also available as a bookdown site and on GitHub)
- Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio, QUBES Educational Resources
- Course-based Undergraduate Research Experience: Florida Plants and Climate Change
- API Office Hours with iDigBio API Working Group
- Ecological Niche Modeling Crash Course
- SPNHC-TDWG 2024, DemoCamp: An introduction to Geographic And Taxonomic Occurrence R-based Scrubbing (gatoRs): An R package and workflow for processing biodiversity data