Elena Uteva is a Daphne Jackson Fellow at the University of Nottingham in the Advanced Material Research Group in the Faculty of Engineering.

With a BSc and a PhD in Chemistry from the University of Nottingham, Elena is a theoretical chemist with experience in machine learning. Her PhD research work is now used to help current PhD students and she has publications including an editor choice article publication in the Journal of Chemical Physics.

Elena has presented her work at college and secondary school level, outlining how machine learning and computational chemistry can be used to solve key problems in chemistry. Talking about the future application of her research into carbon capture storage, she has led discussions on climate change and on the way that scientists can help to tackle growing atmospheric CO₂ levels.

Returning to research after a five year break, Elena wants to build on her original PhD research and apply it to the challenges of hydrogen storage and her project is entitled: Atomistic modelling of metal hydrides using machine learning.

Elena’s Fellowship is sponsored by the University of Nottingham and the Engineering and Physical Sciences Research Council (EPSRC).