At the 2025 BioSB conference, I met many fascinating people and attended some truly inspiring talks. It was a fantastic opportunity to present my work on Migenpro, a Python package I developed for creating bioprospecting models. I demonstrated how Migenpro can be used to predict microbial traits from genome sequences, which sparked some great discussions.
Bioprospecting is all about discovering valuable genetic and biochemical resources from biodiversity, and it has huge potential for pharmaceuticals, agriculture, and environmental applications. Migenpro aims to make this process more efficient by using machine learning to analyze biological data.
The conference was a great platform for sharing ideas and collaborating on future projects. The talks covered a wide range of topics, offering new insights and perspectives that I'm excited to incorporate into my research. Overall, it was an enriching experience that has set a strong foundation for future work in bioprospecting.
