Hoang Nguyen
Postdoctoral Research Associate
Wellington, Wellington, New Zealand
Summary
👤
Senior🎓
Top SchoolHoang Nguyen is a computational biologist and data scientist with eight years of hands-on experience and over a decade of academic research and teaching in data science, AI, and molecular life sciences. Currently a Postdoctoral Research Associate and lecturer in Wellington, he builds computational frameworks for drug discovery, deploys them as web services, and teaches a wide range of data and web development courses. His PhD in Data Science underpins work that spans deep learning for phenotypic drug discovery to explainable ML for tubular data, bridging rigorous research with practical deployment. Hoang routinely supervises students and translates complex scientific ideas into accessible coursework, and he combines lab-focused biotech training with production-minded data engineering—an uncommon blend that accelerates applied research to usable tools.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at Victoria University of WellingtonNZ2993 : New Zealand Certificate in Adult and Tertiary Teaching (Level 5), Adult and Tertiary Teaching, NZ2993 : New Zealand Certificate in Adult and Tertiary Teaching (Level 5), Adult and Tertiary Teaching at Open Polytechnic of New ZealandMaster of Science - MS, Biotechnology, Master of Science - MS, Biotechnology at International University - VNU HCMC
English, Vietnamese
Github Skills (12)
ml-project9
multi-task-learning9
drug-discovery8
machine-learning7
deep-learning7
resnet5
go5
evolutionary-computation4
graph-convolutional-networks4
graph3
dimensionality-reduction3
neural-network2
Programming languages (3)
Github contributions (5)
nvthoang/nvthoang.github.io
Jul 2019 - Oct 2025
Contributions:10 pushes, 1 branch in 6 years 3 months
mldlproject/2021-iCYP-MFE
Dec 2020 - Sep 2022
Source code and data of the paper entitled "iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors using Multi-task Learning and Molecular Fingerprint-embedded Encoding"
Contributions:39 commits, 29 pushes in 1 year 10 months
multi-task-learningdrug-discoverychemoinformaticsdeep-learningmachine-learning
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