Abhi Navaneethanathan

I am a PhD student under the UKRI Centre for Doctoral Training in Environmental Intelligence.

My PhD research focuses on better understanding the processes that influence the ocean biological carbon pump using in situ particulate organic carbon (POC) flux observations from a variety of instruments. I am interested in how data fusion methods can be used to combine heterogeneous data sources in order to address their sparsity and biases, and to make more accurate global POC flux estimates than what can be obtained from individual sources. This project is in collaboration with the National Oceanography Centre.

I previously completed an MSci in Physics with Theoretical Physics at Imperial College London, with a dissertation titled ‘Modelling diagnostics for Inertial Confinement Fusion‘ with the Centre for Inertial Fusion Studies, followed by working for a year as an AI Researcher on NLP applications.

• Chunbo Luo - Senior Lecturer in Computer Science, University of Exeter
• Peter Challenor - Professor in Statistics, University of Exeter
• Sabina Leonelli - Professor of Philosophy and History of Science, University of Exeter
• B.B. Cael - Senior Research Scientist, National Oceanography Centre
• Adrian Martin - Marine Systems Modelling Research Scientist, National Oceanography Centre

• Data fusion
• Data biases in machine learning (ML)
• ML and statistical hybrid models
• In situ observations and remote sensing
• Modelling ocean particulate organic carbon fluxes
• Explainable AI