George (Georgios) has worked at the frontlines of data science and biochemistry in both industry and academic institutions.
In the last four years, he worked for AstraZeneca and Unilever. Using supervised, unsupervised, and graph machine learning, he facilitated data analysis to create knowledge graphs for studying the interactions between genes and compounds. Notably, at AstraZeneca, he led a team to rediscover compounds that might be repurposed to treat Covid-19. At Unilever, he also employed natural language processing and graph database technologies to collate known toxicological data and create structural bioinformatics representations.
In addition, George has a solid scientific research background. At the University of Oxford, he was a postdoctoral fellow in big data management and analysis, investigating how to organize and condense vast amounts of simulation data. He was also a researcher at the Max Planck Institute for Coal Research in Germany. There, he adapted a grid cell theory code that he had written during his PhD studies to the quantum molecular context.
George obtained a PhD in molecular simulation and statistical mechanics from the University of Edinburgh, where he focused on the hydration of proteins for drug design. He also holds a BSc in Biochemistry from King’s College London. There, he received the McClare Memorial Biophysics Prize for achievements in molecular biophysics.
George has scaled the peak of a few munros (Scottish mountains), and is constantly striving to reach new heights.