Data science is the sexiest job of the 21st century
Background:
I am a PhD candidate at the University of South Bohemia's Faculty of Fisheries and Water Protection, based in Ceske Budejovice (USB). My research primarily revolves around investigating the trends and impacts of invasive species. An integral part of my work involves leveraging the principles of data science, with a particular emphasis on data cleaning and various modeling approaches. I specialize in employing Generalized Linear Models (GLMs), Generalized Additive Models (GAMs), and meta-analytical methods to interpret complex data sets and generate insightful conclusions. This integrative and analytical approach allows for a comprehensive understanding of the patterns and effects of invasive species.
Ph.D. thesis: Long-term trends and impacts of invasive species in Europe
Supervisors: Phillip J. Haubrock & Antonín Kouba
My research:
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Highlight:
Main proyects😄
Time series database (Haase et al. 2023)
- Dikerogammarus villosus => Soto et al. 2023
- Crayfish trends => Soto et al. 2023
- Ponto-Caspian => Soto et al. 2023
- Sigmoidal Curves => Soto et al. 2023
- Zebra mussel trends
Diagne et al. 2020:
InvaCost- Herpetofauna => Soto et al. 2022
- Gastropods => Jiang et al. 2022
- Canals => Balzani et al. 2022
- Marine species => Cuthbert et al. 2023
- Domestic species => Soto et al.
- Aquaculture => Oficialdegui et al.
Species Distribution Models (SDMs)
Functional responses (FR)
Others related proyects:
- Salmonids trends in Cantabria => Soto et al. 2023
- Euphrates & Tigris
- Amphipods_Kiel
- Melina_snowcrab
Students
Gwedaline Le Hen
- Rhine river => Le Hen et al. 2023
Mathieu Toutain
- Tracking long-term shifts in non-native freshwater macroinvertebrates => Toutain et al. 2023