My research aims to realise the promise of artificial intelligence for scientific discovery. I've worked on problems in healthcare such as discovery of antimicrobial peptides and sustainability, such as discovery of molecules and porous solids that capture carbon dioxide.
I sit on the Strategic Advisory board at the Postrgraduate Institute of the National Physical Laboratory and supervise three PhD students: Daniel Crusius and Chris Davies in Computational Discovery at the University of Oxford and Dominic Phillips in Biomedical AI at the University of Edinburgh.
I hold a PhD in physics from the University of Edinburgh. In my thesis, I built and electronically coarse-grained molecular model of water and showed it predicts water behaviour throughout its phase diagram. These results established electronic coarse-graining as arguably the most powerful technique for accurate and efficient calculation of forces between molecules.
Besides my work, I dance tango, lift weights and enjoy communicating science. I co-founded a volunteering organisation, wrote about the connection between science and art, worked on algorithmic music composition and made a glass sculpture expressing my research.
My work has been recognised with awards such as Forbes 30 under 30, 2021 IBM Pat Goldberg Award (selected out of thousands), three IBM Technical Accomplishments and a journal cover. My PhD was shortlisted for a national prize and so was my undergraduate research. I also won multiple presentation awards. During high school, I competed in national maths and physics Olympiads (earning silver and bronze) and co-authored my first conference paper on anomalous spreading in the mid Atlantic ridge.
To start a conversation, email me at hello(at)[this-domain].com. To hire me, send me a message on LinkedIn or at hire(at)[this-domain].com.