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 (16)
doc2vec10
graph-embedding10
graph-representation-learning10
word2vec9
graph9
deep-learning8
machine-learning8
data-generation3
synthetic-data3
synthetic-dataset-generation3
open-datasets2
datasets2
synthesizing-tabular-data2
transformers1
large-language-models1
Programming languages (1)
Github contributions (5)
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-embeddinggraph-representation-learninggraph-classificationfrequent-subgraphsdoc2vec
svethav/website
Sep 2018 - Dec 2024
Contributions:50 pushes in 6 years 4 months
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