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Ruben Sanchez-Garcia has a pure mathematics background specifically in algebraic topology. He currently focuses on the interface between pure and applied mathematics, with particular emphasis on network modelling analysis and applied topology. He is engaged in research projects such as the automatic detection of genetic oscillators in partnership with the Alan Turing Institute, using network science to quantify the geometry of emotional impact for data collection. Dr. Sanchez-Garcia has taught a range of modules including Mathematical Methods for Physical Scientists, Mathematics for Chemists and Oceanographers, Structure Dynamics of Networks, and Galois Theory. He has led self-paced modules and actively supports PhD students as a supervisor.