Contact
gmarais@ufl.edu
Research Summary
I am a PhD student and graduate assistant in Professor Hulcr’s lab. My interests mostly focus on applying data science in biological data environments with a specific attraction towards network analytics, machine learning, genomics and computational modeling. My focus is on developing machine learning, database, and data capturing tools that improve research efficiency and insect identification.
Education
- 2023 – Present: PhD. in Forest Resources and Conservation (Computational biology); University of Florida
- 2022 – 2023: M.Sc. in Forest Resources and Conservation (Computational biology); University of Florida
- 2021 – 2021: Data scientist & Software developer; Panthera
- 2019 – 2021: Machine learning and Artificial Intelligence Associate; South African Sustainable Development Hub
- 2019 – 2020: MIT in Big Data Science; University of Pretoria
- 2019 – 2020: Technical & Research Assistant at Forest Molecular Genetics; University of Pretoria
- 2018 – 2018: B.Sc. Hons in Bioinformatics; University of Pretoria
- 2017 – 2017: Laboratory Intern at the Centre of Excellence in Tree Health Biotechnology FABI; University of Pretoria
- 2016 – 2017: Summer Intern; University Medical Center Groningen
- 2016 – 2016: Laboratory Assistant; University of Johannesburg
- 2014 – 2017: B.Sc. in Human Genetics, Physiology and Psychology; University of Pretoria
- Fourie, W., van der Walt, I., Strydom, H., & Marais, C. (2019). South African system tracks SDG research. Nature, 573(7773), 196.
- Jackson, C., Christie, N., Reynolds, M., Marais, C., Tii-kuzu, Y., Caballero, M., Kampman, T., Visser, E. A., Naidoo, S., Kain, D., Whetten, R. W., Isik, F., Wegrzyn, J., Hodge, G., Jose Acosta, J., & Myburg, A. A. (2022). A genome-wide SNP genotyping resource for tropical pine tree species. Molecular Ecology Resources, 22, 695– 710. https://doi.org/10.1111/1755-0998.13484