Hi everyone, 
I am a final year MEng Computing student at Imperial College London interested in improving marine biodiversity monitoring with machine learning.

I have previously used Transformers (the ML powering tools like ChatGPT) to improve Metagenomics accuracy to assess plankton biodiversity and I am currently using Computer Vision to develop an automatic shark classifier from underwater videos (BRUVs).

I am interested doing a PhD to develop a transdisciplinar marine biodiversity monitoring approach with the goal of achieving scalable, cheap and accurate metrics. I would be interested in trying to combine technologies such as CV, eDNA, Bioacoustics and traditional methods to find the best combination.

I would also be interested in testing these technologies in Marine Protected Areas, especially in developing countries that might not afford more traditional approaches. I have experience developing technologies in the real world gained from working at Palantir Technologies as a Forward Deployed Software Engineer, and I believe conservation would benefit from their deployment-first approach.

Do you know any researcher or research group doing someting similar? 

Thank you so much for your help! I have also attached my CV for reference.