Research projects and interest

My PhD research focuses on the anthropogenic effects on the behaviour of wild and domesticated bumblebees, providing me with a deep involvement in pollinator ecology, including fieldwork and related fields of study. Moreover, I am also highly interested in pollinator monitoring and conservation.

Related to my doctoral research, I used deep learning-based tools, including computer vision-based object detection, giving me a solid background in cutting-edge artificial intelligence techniques for animal behavioural studies. Additionally, I have a computational and programming background that allows rigorous data recording and statistical analysis. I have a knowledge of statistics (including linear modelling and machine learning), and I also have experience with R and Python languages.

As the main coordinator of an international project, I lead a questionnaire-based survey assessing the potential of residential gardens toward supporting high biodiversity in nine European countries.

Feel free to contact me for collaboration.