Dang Nguyen
Research Lecturer at A²I² - Applied Artificial Intelligence Institute
Greater Melbourne Area Australia
Summary
👤
Senior🎓
Top SchoolDang Nguyen is a research-focused data scientist and lecturer based in Greater Melbourne with a PhD in Data Science and over a decade of professional experience spanning academia, healthcare, defense, and industry. Currently a Research Lecturer at A²I² and Data Scientist at Deakin University, he builds and deploys ML and deep learning models, applies Bayesian optimization to materials design, and develops predictive solutions for healthcare and security projects. His background includes postdoctoral research and earlier software development roles for large organizations, giving him a rare blend of production software engineering and rigorous research methodology. Known for end-to-end work from data collection and cleaning through statistical analysis, visualization and interpretation, he often translates complex research into practical, application-ready algorithms.
10 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 Deakin University
Github Skills (15)
graph-embedding10
kernel-methods10
embedding8
graph7
graph-convolutional-networks6
data-generation3
datasets2
open-datasets2
deep-learning2
transformers2
artificial-intelligence1
synthetic-data1
large-language-models1
analytics1
tabular1
Programming languages (1)
Github contributions (5)
svethav/website
Sep 2018 - Dec 2024
Contributions:50 pushes in 6 years 4 months
nphdang/GE-FSG
Sep 2018 - May 2020
Graph Embedding via Frequent Subgraphs
Contributions:36 commits, 26 pushes, 1 branch in 1 year 7 months
graph-convolutional-networksfrequentgraph-neural-networksgraphkernel-methods
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