I am a Physicist by training, specialised in Quantum Mechanics and Theoretical Molecular Dynamics. Owing to the very large computational component of my research, I developed a keen interest in Computational Science and Software Engineering. The increasing commonality of methods and approaches used in a multitude of Research fields with a strong computational component has led to collaborations with researchers, especially in the Life Sciences. I am also interested in understanding how the Brain works from a Physicist's perspective, which has naturally led me to be interested in Machine Learning and Artificial Intelligence. 

As a Physicist, my research has been focused on the development of Potential Energy Surfaces within the Born-Oppenheimer approximation to describe molecular systems and the calculation of their energy levels. In particular, I have built a PES for H₂O and have calculated with very high accuracy the energy levels up-to and beyond dissociation of D₂H⁺ and H₃⁺. For this I have developed a module in the DVR3D suite of codes named RES3D, which automates the search of resonant states in triatomic molecules above dissociation. More recently I have been involved in facilitating the linkage analysis of genetic data from families affected by Crohn's disease, and I am a co-author in work to perform integrated analysis of genome-wide genetic and epigenetic association data for identification of disease mechanisms.