Summary
David Tsang is a multidisciplinary research engineer combining 18 years of hands-on experience across design, biology, and engineering to build AI- and robotics-enabled high-throughput automation pipelines for synthetic biology. Currently a Digital Research Technician Champion and PhD student at Imperial College London, he develops lab automation and machine learning solutions that expand experimental design spaces in bottom-up synthetic cell engineering. His background spans industrial automation (Navya), advanced manufacturing and personalized medical design at Dyson, and an MIT collaboration on automation for synthetic biology, reflecting a rare blend of academic depth and production-facing engineering. A computational ecologist by training, he brings systems-level thinking from macroecology and conservation to optimize experimental workflows and data infrastructure. Notably, he promotes robust data management and software practices across research groups, bridging technical rigor with practical lab deployment.
18 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Biology, Doctor of Philosophy - PhD, Chemical Biology at Imperial College London
Baccalauréat Général - Section Européenne, Filière Scientifique, Baccalauréat Général - Section Européenne, Filière Scientifique at Lycée Français de Shanghai
French, English, Chinese, German, Japanese