David Tsang

Digital Research Technician Champion at Institute of Chemical Biology EPSRC Centre for Doctoral Training (ICB CDT)

London, England, United Kingdom
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Summary

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Senior
🎓
Top School
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.
code18 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Chemical Biology, Doctor of Philosophy - PhD, Chemical Biology at Imperial College London
bookBaccalauréat Général - Section Européenne, Filière Scientifique, Baccalauréat Général - Section Européenne, Filière Scientifique at Lycée Français de Shanghai
languagesFrench, English, Chinese, German, Japanese
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Github Skills (134)

python10
knitr10
rscript10
waveform10
spatial10
validation10
outlook10
music10
r-package10
onenote10
jupyterlab-extension10
proj10
microsoft-graph10
pre-commit-hook10
hydrogen10

Programming languages (11)

TypeScriptRCRustTeXHTMLJupyter NotebookRuby

Github contributions (5)

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davidorme/Masters_GIS

Oct 2020 - Nov 2024

Contributions:1 release, 1 review, 1 PR in 4 years 1 month
An R package for discovering and using data from the SAFE Project
Contributions:342 commits, 15 PRs, 185 pushes in 3 years 4 months
rr-package
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