Daniel studied Physics at King’s College London and graduated with a first class MSci honours degree.
Over the course of his degree, Daniel studied computational physics and used Python to simulate various physical processes including orbital dynamics and molecular assembly. He also took an interest in Genetic Algorithms and their use with Neural Networks.
During his final year at Kings, Daniel undertook a research project in the field of medical nanotechnology, producing and modifying conjugated polymer nanoparticles for use in fluorescent imaging and cancer treatment.
Daniel joined E+F as a Technical Assistant in 2019.