Summary
Tony Yang is a Core Data Engineer with eight years of cross-disciplinary experience blending computational chemistry, bioinformatics, and production-grade data engineering. He has progressed from academic research and PhD-level work in theoretical systems biology at Imperial College to building AI and data platforms at BCG X and now supporting low-latency trading infrastructure at Flow Traders. Comfortable across the stack, he combines workflow automation, containerisation, and statistical modelling with pragmatic software delivery—skills honed during projects like an EMBL-EBI genome processing pipeline and hands-on teaching of novice programmers. Tony’s background as a chemist-turned-engineer gives him a knack for translating complex scientific problems into reliable, maintainable code; on the side he admits to “flipping bits, sometimes burgers,” hinting at a practical, down-to-earth approach to engineering.
8 years of coding experience
4 years of employment as a software developer
PhD Theoretical Systems Biology and Bioinformatics, PhD Theoretical Systems Biology and Bioinformatics at Imperial College London
High School Chemistry A* Physics A* Mathematics A* Further Mathematics A*, High School Chemistry A* Physics A* Mathematics A* Further Mathematics A* at Brampton College