Glen Charlton
Lead Data Scientist
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Email: glen@intersect.org.au
Position:
Lead Data Scientist
Academic Background:
MSc, Electronics / Biomechanics
BEngSci. Electronics / Sports Technology
Bio:
Glen holds a BSc in Engineering Science and MSc in Science by Research. He has over 10 years of experience in applying Data Science and Electronics Engineering to commercial and research projects in the fields of Health Sciences, Sport Science, Environmental Management and Animal Science. Glen established a research track record demonstrating the application of data science within projects at the University of New England. Glen has a number of published articles and is involved in conference submissions in the application of Data Science in multiple disciplines. Glen’s professional interests are in applying Data Science and other technology solutions to improve the efficiency and increase the capability of research projects to conduct novel and practically relevant research. Specifically, Glen has extensive experience working on research projects involving time-series sensor data, real-time data pipelines, deep learning with image data and applying agentic LLM processes for both research and productivity. As Intersect’s Lead Data Scientist, Glen oversees the Data Science services provided by Intersect’s Advanced Analytics & AI (3AI) Platform and the Data Science Team.
Expertise:
4602 (Artificial intelligence)
4603 (Computer vision and multimedia computation)
4605 (Data management and data science)
4611 (Machine learning)
4009 (Electronics, sensors and digital hardware)
3103 (Ecology)
4207 (Sports science and exercise)
3003 (Animal production)
Personal Interests:
Working with researchers to develop novel insights within data intensive research projects especially through the use of sensors and image recognition technology.
Case Studies: Innovation in Action
Echo Zhou
Research Data Scientist Intern
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Email: echo@intersect.org.au
Position:
Research Data Scientist Intern
Academic Background:
PhD (Pursuing), Data Science/ Computer Science
MSc, Data Science
BSc, Data Science
Bio:
Echo Zhou is a Research Data Scientist Intern with 6 years of experience in data science and statistical modelling. She is currently pursuing a PhD in Data Science/ Computer Science at Deakin University, focusing her research on generative models, incomplete data, and machine learning. Echo also has 5 years of experience as a tutor in technology, demonstrating her passion for teaching and education.
Expertise:
4602 (Artificial Intelligence)
4603 (Computer Vision and Multimedia Computation)
4605 (Data Management and Data Science)
4611 (Machine Learning)
4905 (Statistics)
4903 (Numerical and Computational Mathematics)
Personal Interests:
Data science, data analytics, generative AI in arts, technology, education and promoting gender diversity in STEM.
Long Le
Research Data Scientist
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Email: long@intersect.org.au
Position:
Research Data Scientist
Academic Background:
PhD, Computer Science
B.Eng (Hons), Computer Engineering
Bio:
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.
Expertise:
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.
Yueyang (Roy) Liu
Research Data Scientist
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Email: yueyang@intersect.org.au
Position:
Research Data Scientist
Bio:
Yueyang holds a PhD at Monash University, specialising in machine learning and biomedical engineering. With over five years of research experience, he has developed extensive knowledge on machine learning models for brain data analysis and time series modelling. His research focuses on leveraging advanced data science techniques to solve complex biological and medical problems, especially in epilepsy seizures. He also possesses more than four years of experience in designing and tutoring statistics and machine learning courses. As a research data scientist at Intersect, Yueyang specialises in machine learning operations and computer vision, making impactful progress towards different fields.
Expertise:
3209 Neurosciences
4003 Biomedical engineering
4602 Artificial intelligence
4605 Data management and data science
4611 Machine learning
Personal Interests:
Data Science, AI, Biomedical Engineering, Neuroscience