Duy Pham

Senior Computational Biologist

Cambridge, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Duy Pham is a senior computational biologist with eight years of cross-disciplinary experience applying genomic machine learning and multi-omics software engineering to academic and startup settings. He has held senior roles at the Wellcome Sanger Institute and Cambridge Stem Cell Institute and helped build a C-DIAM platform as a software engineer at Pythia Biosciences, bridging research-grade methods and production-ready tools. Trained with a PhD in Computational Biology from The University of Queensland, he combines deep algorithmic understanding with practical data engineering to deliver reproducible analyses for large-scale single-cell and multi-omics projects. Colleagues value him for translating complex biological questions into scalable pipelines and for moving rapidly between hands-on coding and collaborative lab environments. Based in Cambridge, he brings a global perspective from research and industry in Australia, Vietnam and the UK, and often focuses on making computational workflows more robust and deployable beyond proof-of-concept.
code8 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at The University of Queensland
bookBachelor's degree, Biotechnology and Pharmacology, Bachelor's degree, Biotechnology and Pharmacology at University of Science and Technology of Hanoi - USTH
bookHigh School Diploma, Biology, General, High School Diploma, Biology, General at Hung Vuong Gifted Highschool
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Github Skills (23)

conda-forge10
spatial-transcriptomics10
conda10
forge10
transcriptomics10
single-cell-analysis10
computational-biology10
single-cell-genomics9
pipeline9
spatial9
machine-learning8
abaqus7
centerline7
smithy5
morphology5

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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duypham2108/vietherbtestapp

Feb 2018 - Mar 2021

Contributions:3 PRs, 57 pushes, 4 branches in 3 years 1 month
Interactive applications of stlearn
Contributions:28 commits, 24 PRs, 39 pushes in 2 years 2 months
abaqusmachine-learning
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