Melbourne, Victoria, Australia
Dr. Thi Nguyen is a public health researcher and data scientist whose research lies at the intersection of machine learning, natural language processing, and health data science. His work includes developing predictive models for disease risk, extracting structured information from clinical narratives, and applying statistical and ML methods to large-scale healthcare datasets. He has extensive experience in Python and R and is committed to reproducible, ethical, and computationally efficient approaches to AI in healthcare.
• Research and developing deep learning/machine learning techniques for predicting physiological traits to help farmers improving land use productively. • Implementing visualization tools for sport analytics • Analysis of drug-drug interactions using Australian Health data • Managing 6 software teams for Information Technology Project Subject
Projects: • Natural Language Processing for infectious disease surveillance • A Comprehensive Infrastructure for Data-intensive Applications and Analytics Text mining on electronic medical records; Health Informatics; Big Data Analytics
Project: Efficient Databases for Flash Memory Responsibilities and Duties: • Research and software development on flash databases Techniques: • Database indexing, flash memory, SVM, clustering, software development • Programming languages: Java, C/C++, Python Key Achievements: • Published 4 top ranked journal and conference papers