Long Le


Research Data Scientist

Academic Background:

PhD, Computer Science
B.Eng (Hons), Computer Engineering


Long is a PhD candidate in Computer Science at the University of Sydney. He specialises in large-scale machine learning, distributed computing, and their applications in the Internet of Things and next-generation networking solutions. With over 6 years of dedicated research expertise, he has developed an extensive background in machine learning and data mining. He also possesses more than 5 years of experience in designing and tutoring academic courses, where he applies his expertise to enhance the academic and professional growth of learners. As a 3AI’s research data scientist at Intersect, he is committed to bridging the gap between theoretical research and practical AI-driven applications, making impactful contributions not only for his fields of interest but also to multiple industries.


Artificial Intelligence
Machine Learning/ Deep Learning
Data Science
Distributed Computing
Internet of Things

Personal Interests:

Exploring distributed machine learning to devise efficient, privacy-preserving solutions for large-scale AI systems.